{ "base": "http://localhost:64540", "models": [ "vanilla-rag", "hybrid-rag", "contextual-rag", "graph-rag", "agentic-rag", "n8n-adaptive-rag", "lazy-graph-rag" ], "model_profiles": [ { "model": "vanilla-rag", "base_model": "vanilla-rag", "flavor": "default", "requires_reingest": false, "experimental": false }, { "model": "hybrid-rag", "base_model": "hybrid-rag", "flavor": "default", "requires_reingest": false, "experimental": false }, { "model": "contextual-rag", "base_model": "contextual-rag", "flavor": "default", "requires_reingest": false, "experimental": false }, { "model": "graph-rag", "base_model": "graph-rag", "flavor": "default", "requires_reingest": false, "experimental": false }, { "model": "agentic-rag", "base_model": "agentic-rag", "flavor": "default", "requires_reingest": false, "experimental": false }, { "model": "n8n-adaptive-rag", "base_model": "n8n-adaptive-rag", "flavor": "default", "requires_reingest": false, "experimental": false }, { "model": "lazy-graph-rag", "base_model": "lazy-graph-rag", "flavor": "default", "requires_reingest": false, "experimental": true } ], "queries_file": "demo/queries.yaml", "run_id": "live-2026-07-17-baseline_curated", "dataset_id": "baseline_curated", "canonical_rows_file": "/Users/kaveh/repos/rag-showcase/compare/results/live-2026-07-17-baseline_curated-evidence.jsonl", "evaluation_summary_file": "/Users/kaveh/repos/rag-showcase/compare/results/live-2026-07-17-baseline_curated-evaluation.json", "queries": [ { "id": "keyword", "query": "What does error code WIDGET-ERR-7741 mean and how do I reset it?", "expect_winner": "hybrid-rag", "rationale": "Rare exact identifier — BM25 leg beats pure dense." }, { "id": "thematic", "query": "What are the main recurring themes across all the documents?", "expect_winner": "graph-rag", "rationale": "Whole-corpus synthesis — graph community structure beats flat top-k." }, { "id": "multihop", "query": "Compare what two different sources concluded on the same event and reconcile them.", "expect_winner": "agentic-rag", "rationale": "Needs decomposition + multiple retrievals — the agent loop shows its work." }, { "id": "factoid", "query": "What is the firmware version referenced in the widget bootloader error?", "expect_winner": "any", "rationale": "Simple single fact — all approaches should answer; teaches 'when is RAG worth it'." }, { "id": "context_starved", "query": "What does the safety relay do when the coil overheats, and how do I clear it?", "expect_winner": "contextual-rag", "rationale": "Contextual blurbs help when a chunk is split from the context that disambiguates it. Under the default Atlas recursive profile the keyword doc is a single chunk, so this visibly wins only with structure-aware parsing/chunking (or a longer doc that separates the relay from its error code)." }, { "id": "mixed_batch", "query": "List the widget error codes, then explain how they relate to each other across the docs.", "expect_winner": "n8n-adaptive-rag", "rationale": "A cheap lookup plus a multi-doc synthesis in one ask; the adaptive router escalates only the hard half." } ], "cells": [ { "query_id": "keyword", "model": "vanilla-rag", "base_model": "vanilla-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 2.7, "raw": "WIDGET-ERR-7741 means the widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. It is reset by power-cycling for 30s.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md**\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n**3. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md**\n\n> # SBF’s trial starts soon, but how did he — and FTX — get here?\n\nSBF’s trial has started, this is how he and FTX got here\n\nThe highly anticipated criminal trial for Sam Bankman-Fried, former CEO of bankrupt crypto exchange FTX, started Tues\n\n**4. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md**\n\n> # News publisher files class action antitrust suit against Google, citing AI’s har\n\nA new class action lawsuit filed this week in the U.S. District Court in D.C. accuses Google and parent company Alphabet of anticompetitive behavior in viol\n\n**5. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md**\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n
\n\n---\n📊 2.6s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "WIDGET-ERR-7741 means the widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. It is reset by power-cycling for 30s.", "sources": [ { "title": "subset/widget-error-codes.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": null }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": null }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": null } ], "metrics": { "seconds": 2.585440960000142, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "keyword", "model": "hybrid-rag", "base_model": "hybrid-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 16.8, "raw": "WIDGET-ERR-7741 means that the widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. To reset it, you must power-cycle the device for 30 seconds.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.888\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.032\n\n> They named their company DeepMind, a nod to “deep learning,” a way for AI systems to learn skills by analysing large amounts of data; to neuroscience; and to the Deep Thought supercomputer from the sci-fi novel The Hitchhiker’s Guide to the\n\n**3. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.022\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**4. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.021\n\n> # Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\nEddy Cue, in a dark suit, peered down at the monitor in front of him. The screens in the Washington, DC, courtroom had briefly malfunctioned and left witnesses\n\n**5. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 0.017\n\n> For the US, which has to prove that Google somehow broke the law to achieve the status quo, this legal case could be an uphill battle. But for the rest of us, it offers a rare opportunity for some insight into what the tech giant does with \n\n
\n\n---\n📊 16.8s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "WIDGET-ERR-7741 means that the widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. To reset it, you must power-cycle the device for 30 seconds.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.8882681 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.031768754 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.021740234 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.020886762 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 0.017341958 } ], "metrics": { "seconds": 16.787740425000266, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "keyword", "model": "contextual-rag", "base_model": "contextual-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 16.8, "raw": "Error code WIDGET-ERR-7741 means that the widget's thermal cutoff engaged because the coil exceeded 84°C and the safety relay (part RLY-22B) opened. To reset it, you must power-cycle the widget for 30 seconds.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.903\n\n> This section lists specific error codes for the Acme Widget, detailing their causes and required resolution steps. It serves as a quick reference guide for troubleshooting common hardware and software issues.\n\n# Acme Widget Error Code Refer\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.032\n\n> This passage details DeepMind's early history, including its founding, initial funding from Peter Thiel and Elon Musk, and its breakthrough in neural network research that eventually attracted Google's attention. It also describes how Geoff\n\n**3. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.028\n\n> This passage details the pivotal 2015 ethics board meeting where Elon Musk lost influence over DeepMind after its acquisition by Google, highlighting the divergent views on AI safety between Musk and Google executives that ultimately led to\n\n**4. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 0.028\n\n> The document addresses criticisms that Google manipulates search results for ad revenue, presenting Google's official explanation of its ranking algorithms and quality assurance processes as a counterargument. This specific chunk details ho\n\n**5. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.022\n\n> This section details Eddy Cue's testimony regarding the Information Services Agreement and his assertion that Google was the only viable search engine alternative, which serves as a central point of contention in the US Department of Justic\n\n
\n\n---\n📊 16.8s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "Error code WIDGET-ERR-7741 means that the widget's thermal cutoff engaged because the coil exceeded 84°C and the safety relay (part RLY-22B) opened. To reset it, you must power-cycle the widget for 30 seconds.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.90289444 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.03150354 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.028411618 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 0.027610518 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.022152867 } ], "metrics": { "seconds": 16.825090799999998, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "keyword", "model": "graph-rag", "base_model": "graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 7.9, "raw": "Based on the **Acme Widget Error Code Reference**, here is the information regarding error code **WIDGET-ERR-7741**:\n\n**Meaning:**\nThis error code indicates that the widget's **thermal cutoff has been engaged**. This safety mechanism triggers because the widget's coil temperature exceeded **84°C**, causing the safety relay (part number **RLY-22B**) to open [2].\n\n**How to Reset:**\nTo resolve this issue, you must **power-cycle the widget for 30 seconds** [2].\n\n### References\n\n- [1] atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt\n\n
🔎 Retrieved context (1 source)\n\n**1. LightRAG knowledge graph**\n\n> Graph + vector dual retrieval (profile=graph-rag) over the corpus's extracted entities and relations.\n\n
\n\n---\n📊 7.9s · 0 chunks · 1 LLM call · 0 cloud", "answer": "Based on the **Acme Widget Error Code Reference**, here is the information regarding error code **WIDGET-ERR-7741**:\n\n**Meaning:**\nThis error code indicates that the widget's **thermal cutoff has been engaged**. This safety mechanism triggers because the widget's coil temperature exceeded **84°C**, causing the safety relay (part number **RLY-22B**) to open [2].\n\n**How to Reset:**\nTo resolve this issue, you must **power-cycle the widget for 30 seconds** [2].\n\n### References\n\n- [1] atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt", "sources": [ { "title": "LightRAG knowledge graph", "score": null } ], "metrics": { "seconds": 7.8557762949999415, "chunks": 0, "llm_calls": 1, "cloud_calls": 0 }, "approach_metadata": { "lightrag": { "query_profile": "graph-rag" } } }, { "query_id": "keyword", "model": "agentic-rag", "base_model": "agentic-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 4.2, "raw": "Based on the error code reference:\n\n**WIDGET-ERR-7741** means that the widget's thermal cutoff has engaged because the coil temperature exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n\n**To reset it:** Power-cycle the device for 30 seconds.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(WIDGET-ERR-7741 error code meaning reset)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/027-How ego and fear fuelled the rise of artificial intell\n\n**Step 2.** **Action:** `search_vectors(WIDGET-ERR-7741 reset procedure)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/009-SBF Trial: The latest updates from the FTX collapse’s \n\n
\n\n---\n📊 4.2s · 0 chunks · 5 LLM calls · 0 cloud", "answer": "Based on the error code reference:\n\n**WIDGET-ERR-7741** means that the widget's thermal cutoff has engaged because the coil temperature exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n\n**To reset it:** Power-cycle the device for 30 seconds.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 4.172432669000045, "chunks": 0, "llm_calls": 5, "cloud_calls": 0 } }, { "query_id": "keyword", "model": "n8n-adaptive-rag", "base_model": "n8n-adaptive-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 0.8, "raw": "Based on the error code reference:\n\n**WIDGET-ERR-7741** means that the widget's thermal cutoff has engaged because the coil temperature exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n\n**To reset it:** Power-cycle the device for 30 seconds.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(WIDGET-ERR-7741 error code meaning reset)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/027-How ego and fear fuelled the rise of artificial intell\n\n**Step 2.** **Action:** `search_vectors(WIDGET-ERR-7741 reset procedure)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/009-SBF Trial: The latest updates from the FTX collapse’s \n\n
\n\n---\n📊 0.8s · 0 chunks · 6 LLM calls · 0 cloud", "answer": "Based on the error code reference:\n\n**WIDGET-ERR-7741** means that the widget's thermal cutoff has engaged because the coil temperature exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n\n**To reset it:** Power-cycle the device for 30 seconds.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 0.8026426249998622, "chunks": 0, "llm_calls": 6, "cloud_calls": 0 }, "approach_metadata": { "adaptive": { "route": "complex", "approach": "agentic-rag" } } }, { "query_id": "keyword", "model": "lazy-graph-rag", "base_model": "lazy-graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 3.7, "raw": "WIDGET-ERR-7741 means that the widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. To reset it, you must power-cycle the device for 30 seconds.\n\n
🔎 Retrieved context (8 sources)\n\n**1. subset/widget-error-codes.md** · score 76.000\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 4.750\n\n> # Is Google Search better than the rest? And is that fair?\n\nThe process of this test did remind me how much data Google collects — not just my searches but anything I say to a smart speaker, any search result or ad that I click — which will\n\n**3. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 4.600\n\n> # SBF’s trial starts soon, but how did he — and FTX — get here?\n\nSBF’s trial has started, this is how he and FTX got here\n\nThe highly anticipated criminal trial for Sam Bankman-Fried, former CEO of bankrupt crypto exchange FTX, started Tues\n\n**4. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 4.429\n\n> # SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-\n\nCome Tuesday, our eyes will be trained on the Manhattan Federal Court for the trial of Sam Bankman-Fried, the disgraced cryptocurrency entrepreneur accused \n\n**5. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 4.375\n\n> # How ego and fear fuelled the rise of artificial intelligence\n\nBut eight years later, the argument between the two men seems prescient. The question of whether AI will elevate the world or destroy it – or at least inflict grave damage – ha\n\n**6. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 4.000\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**7. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 4.000\n\n> Bankman-Fried, however, maintained his innocence. At The New York Times’ DealBook Summit, he appeared virtually from the Bahamas, saying “I didn’t ever try to commit fraud on anyone; I was shocked by what happened this month.” In a publishe\n\n**8. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 4.000\n\n> There is, in reality, little surprise here. We’ve already established that Google and Apple have a long and mutually beneficial relationship, even while competing, so it’s not surprising to see three Apple search-related queries bringing in\n\n
\n\n---\n📊 3.7s · 8 chunks · 2 LLM calls · 0 cloud", "answer": "WIDGET-ERR-7741 means that the widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. To reset it, you must power-cycle the device for 30 seconds.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 76.0 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 4.75 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 4.6 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 4.428571428571429 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 4.375 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 4.0 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 4.0 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 4.0 } ], "metrics": { "seconds": 3.712651543999982, "chunks": 8, "llm_calls": 2, "cloud_calls": 0 }, "approach_metadata": { "lazy_graph": { "experimental": true, "cache_hit": false, "index_seconds": 0.018757, "graph_chunks": 30, "graph_concepts": 453, "graph_edges": 7523, "relevance_tests": 24, "relevance_budget": 24, "seed_k": 8, "max_context_chunks": 8, "llm_index_calls": 0, "cache_namespace": "RagBase_baseline_curated.concepts-24" } } }, { "query_id": "thematic", "model": "vanilla-rag", "base_model": "vanilla-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 5.4, "raw": "The provided context is insufficient to identify main recurring themes across *all* the documents, as the documents cover distinct and unrelated topics:\n\n1. **Document [1]** focuses on the criminal trial of Sam Bankman-Fried (SBF) regarding fraud and money laundering related to FTX.\n2. **Document [2]** discusses the rise of artificial intelligence, focusing on the competition and personal dynamics between tech founders like Elon Musk, Sam Altman, and Demis Hassabis.\n3. **Document [3]** details the opening statements in the SBF trial, contrasting the prosecution's view of him as a fraud with the defense's view of him as a good-faith founder.\n4. **Document [4]** covers the U.S. antitrust trial against Google regarding search engine dominance and pre-installs.\n5. **Document [5]** continues the narrative on the rise of AI, detailing the founding of DeepMind and the acquisition of Geoffrey Hinton's work by Google.\n\nThere is no single theme that connects all five documents (e.g., SBF trials, AI development, and Google antitrust litigation are separate subjects).\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md**\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> # How ego and fear fuelled the rise of artificial intelligence\n\nBut eight years later, the argument between the two men seems prescient. The question of whether AI will elevate the world or destroy it – or at least inflict grave damage – ha\n\n**3. subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md**\n\n> # Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement\n\nWho is Sam Bankman-Fried, the former CEO of crypto exchange FTX? Is he a liar and a fraud? Or did he act in good faith, and like many a startup founder, fly\n\n**4. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md**\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**5. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> They named their company DeepMind, a nod to “deep learning,” a way for AI systems to learn skills by analysing large amounts of data; to neuroscience; and to the Deep Thought supercomputer from the sci-fi novel The Hitchhiker’s Guide to the\n\n
\n\n---\n📊 5.4s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The provided context is insufficient to identify main recurring themes across *all* the documents, as the documents cover distinct and unrelated topics:\n\n1. **Document [1]** focuses on the criminal trial of Sam Bankman-Fried (SBF) regarding fraud and money laundering related to FTX.\n2. **Document [2]** discusses the rise of artificial intelligence, focusing on the competition and personal dynamics between tech founders like Elon Musk, Sam Altman, and Demis Hassabis.\n3. **Document [3]** details the opening statements in the SBF trial, contrasting the prosecution's view of him as a fraud with the defense's view of him as a good-faith founder.\n4. **Document [4]** covers the U.S. antitrust trial against Google regarding search engine dominance and pre-installs.\n5. **Document [5]** continues the narrative on the rise of AI, detailing the founding of DeepMind and the acquisition of Geoffrey Hinton's work by Google.\n\nThere is no single theme that connects all five documents (e.g., SBF trials, AI development, and Google antitrust litigation are separate subjects).", "sources": [ { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null }, { "title": "subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md", "score": null }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null } ], "metrics": { "seconds": 5.362373669000135, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "thematic", "model": "hybrid-rag", "base_model": "hybrid-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 19.5, "raw": "The provided context is insufficient to identify main recurring themes across *all* the documents because the documents cover entirely unrelated topics with no common subject matter.\n\n* **Document [1]** discusses the acquisition of AI companies (DeepMind, Geoffrey Hinton) by tech giants like Google and Microsoft.\n* **Document [2]** details a class action antitrust lawsuit against Google regarding its use of news publishers' content for AI technologies.\n* **Document [3]** covers the U.S. Department of Justice's antitrust trial against Google, focusing on search engine dominance and default settings.\n* **Document [4]** describes testimony in the same Google antitrust trial regarding Apple's Safari search deal.\n* **Document [5]** reports on the criminal trial of Sam Bankman-Fried (SBF) and the collapse of FTX/Alameda Research.\n\nWhile Documents [1], [2], [3], and [4] relate to Google or Big Tech, Document [5] is about cryptocurrency fraud and bears no thematic connection to the others. Therefore, there are no themes that recur across *all* documents.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.408\n\n> Google, Microsoft, Baidu and other companies were beginning to believe that neural networks were a path to machines that could not only see but also hear, write, talk and — eventually — think. Loading Page had seen similar technology at Goo\n\n**2. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md** · score 0.400\n\n> # News publisher files class action antitrust suit against Google, citing AI’s har\n\nA new class action lawsuit filed this week in the U.S. District Court in D.C. accuses Google and parent company Alphabet of anticompetitive behavior in viol\n\n**3. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.191\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**4. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.134\n\n> Schmidtlein’s overall point was that Google helped Safari succeed not by forcing Apple’s hand, but by being a great product that integrated seamlessly with Apple’s own stuff. He referenced Apple’s deals with Yahoo and Bing that make those s\n\n**5. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 0.133\n\n> And earlier in the week, a University of Notre Dame professor who helped the government prosecution of Enron and WorldCom, Peter Easton, testified about what he uncovered after tracing the flow of billions of dollars between Alameda Researc\n\n
\n\n---\n📊 19.5s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The provided context is insufficient to identify main recurring themes across *all* the documents because the documents cover entirely unrelated topics with no common subject matter.\n\n* **Document [1]** discusses the acquisition of AI companies (DeepMind, Geoffrey Hinton) by tech giants like Google and Microsoft.\n* **Document [2]** details a class action antitrust lawsuit against Google regarding its use of news publishers' content for AI technologies.\n* **Document [3]** covers the U.S. Department of Justice's antitrust trial against Google, focusing on search engine dominance and default settings.\n* **Document [4]** describes testimony in the same Google antitrust trial regarding Apple's Safari search deal.\n* **Document [5]** reports on the criminal trial of Sam Bankman-Fried (SBF) and the collapse of FTX/Alameda Research.\n\nWhile Documents [1], [2], [3], and [4] relate to Google or Big Tech, Document [5] is about cryptocurrency fraud and bears no thematic connection to the others. Therefore, there are no themes that recur across *all* documents.", "sources": [ { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.4078013 }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": 0.39978302 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.191447 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.13363114 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 0.13252705 } ], "metrics": { "seconds": 19.50225725900009, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "thematic", "model": "contextual-rag", "base_model": "contextual-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 21.5, "raw": "The main recurring themes across the documents are:\n\n1. **Antitrust and Monopoly Power:** Multiple documents discuss legal challenges and allegations that Google engages in anticompetitive behavior to maintain its dominance. This includes a class action lawsuit by news publishers alleging Google \"siphons\" content and traffic, DOJ trials regarding default search engine deals with Apple and pre-installs on Android, and general discussions of Google's market power compared to competitors like Bing.\n2. **Financial Incentives and Revenue Models:** The documents highlight how Google’s business model drives its actions, including spending billions to secure default search positions (e.g., $26.3 billion in 2021), lucrative revenue from specific search queries (like insurance and flights), and the financial stakes involved in AI talent acquisitions (such as the bidding war for Geoffrey Hinton and DeepMind).\n3. **Impact on Content Creators and Publishers:** Several texts focus on how Google’s technologies (including AI, Knowledge Graphs, and Featured Snippets) negatively impact news publishers by reducing traffic and ad revenue, leading to legal suits and industry concerns about \"starving the free press.\"\n4. **Search Technology and User Experience:** The documents detail Google's search algorithms, its use of machine learning and data (location, web history), its defense of user experience (e.g., Apple’s Eddy Cue testifying that Google is the \"best\" and setup should be fast), and criticisms regarding the precision of search results and privacy implications.\n5. **Artificial Intelligence:** AI is a significant theme, covering Google's acquisition of DeepMind to secure top talent, the development of AI tools like SGE and Bard, and the potential for these technologies to further disrupt traditional web traffic and publishing models.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 0.493\n\n> The document addresses criticisms that Google manipulates search results for ad revenue, presenting Google's official explanation of its ranking algorithms and quality assurance processes as a counterargument. This specific chunk details ho\n\n**2. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md** · score 0.464\n\n> This section details the specific allegations in the class action lawsuit filed by Helena World Chronicle against Google, focusing on how AI technologies like SGE and Bard, along with older features like the Knowledge Graph, allegedly sipho\n\n**3. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.344\n\n> This chunk details Apple executive Eddy Cue's testimony regarding the iPhone setup process and his defense of Google as the default search engine, addressing DOJ concerns about user choice and privacy. It highlights the tension between Appl\n\n**4. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.314\n\n> This passage details the high-stakes talent auction for Geoffrey Hinton and his students in 2012, which triggered a bidding war among tech giants and ultimately led to Google's acquisition of DeepMind under specific ethical conditions.\n\nGoo\n\n**5. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.314\n\n> This section details specific evidence from the US v Google antitrust trial, including the revelation of Google's most lucrative search queries and its revenue-sharing agreements with Android manufacturers. It highlights how these practices\n\n
\n\n---\n📊 21.5s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The main recurring themes across the documents are:\n\n1. **Antitrust and Monopoly Power:** Multiple documents discuss legal challenges and allegations that Google engages in anticompetitive behavior to maintain its dominance. This includes a class action lawsuit by news publishers alleging Google \"siphons\" content and traffic, DOJ trials regarding default search engine deals with Apple and pre-installs on Android, and general discussions of Google's market power compared to competitors like Bing.\n2. **Financial Incentives and Revenue Models:** The documents highlight how Google’s business model drives its actions, including spending billions to secure default search positions (e.g., $26.3 billion in 2021), lucrative revenue from specific search queries (like insurance and flights), and the financial stakes involved in AI talent acquisitions (such as the bidding war for Geoffrey Hinton and DeepMind).\n3. **Impact on Content Creators and Publishers:** Several texts focus on how Google’s technologies (including AI, Knowledge Graphs, and Featured Snippets) negatively impact news publishers by reducing traffic and ad revenue, leading to legal suits and industry concerns about \"starving the free press.\"\n4. **Search Technology and User Experience:** The documents detail Google's search algorithms, its use of machine learning and data (location, web history), its defense of user experience (e.g., Apple’s Eddy Cue testifying that Google is the \"best\" and setup should be fast), and criticisms regarding the precision of search results and privacy implications.\n5. **Artificial Intelligence:** AI is a significant theme, covering Google's acquisition of DeepMind to secure top talent, the development of AI tools like SGE and Bard, and the potential for these technologies to further disrupt traditional web traffic and publishing models.", "sources": [ { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 0.49337694 }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": 0.46384227 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.3443811 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.31426582 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.31379685 } ], "metrics": { "seconds": 21.468446633999974, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "thematic", "model": "graph-rag", "base_model": "graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 18.3, "raw": "Based on the provided documents, the main recurring themes revolve around **antitrust concerns, monopolistic practices, and the impact of technology giants on competition and privacy**. Specifically, these themes manifest in four key areas:\n\n### 1. Antitrust Litigation and Monopolistic Behavior\nA dominant theme across multiple documents is the legal and regulatory scrutiny faced by major technology companies, particularly Google and Apple.\n* **Google’s Dominance:** The U.S. Department of Justice (DOJ) is conducting a landmark antitrust case against Google, arguing that it uses its platforms and deals with partners to block out competition in search and advertising [Reference 2]. A new class-action lawsuit filed by *Helena World Chronicle* accuses Google of \"siphoning off\" content and revenue from news publishers through anticompetitive means [Reference 4].\n* **Apple’s Practices:** The DOJ has also investigated Apple for years regarding its policies toward third-party apps, specifically whether it unfairly favors its own products [Reference 2]. Eddy Cue’s testimony highlights that Google was the default search engine due to significant financial agreements (the Information Services Agreement), though Cue testified there were no valid alternatives worth less money [Reference 1].\n* **Legal Precedents:** These cases are framed within the broader context of tech antitrust law, referencing past battles like *U.S. v. Microsoft* and ongoing suits against Amazon and Facebook [Reference 2].\n\n### 2. Privacy vs. Data Collection\nThe tension between user privacy and data extraction for commercial or AI training purposes is a central conflict in both the Apple/Google trial and the broader tech landscape.\n* **Search Engine Deals:** The testimony from Eddy Cue focused heavily on the financial incentives that kept Google as the default search engine, despite Apple’s own efforts to protect user privacy through its platforms (like iOS) [Reference 1]. Cue criticized Google’s privacy policies while simultaneously negotiating lucrative deals with them [Reference 1].\n* **AI and Content Extraction:** The lawsuit by *Helena World Chronicle* argues that Google uses technologies like the \"Knowledge Graph\" and AI-driven search to extract information from publishers without consent, effectively misappropriating their content to build massive databases [Reference 4]. This raises concerns about how AI models are trained on vast amounts of digital text and data scraped from the web [Reference 1].\n* **Tracking and Consent:** The documents also touch on app-level privacy, such as the App Tracking Transparency pop-up that informs users when apps collect their data, highlighting the ongoing battle over user consent in the digital ecosystem [Reference 1].\n\n### 3. The Rise of Artificial Intelligence and its Disruption\nThe rapid advancement of AI is portrayed as both a source of immense value and a disruptive force threatening traditional business models.\n* **GPT-4 and AGI:** There are detailed accounts of the development of large language models like GPT-3 and GPT-4, including demonstrations to high-profile figures like Bill Gates. The narrative emphasizes the rapid progression toward Artificial General Intelligence (AGI) and the competitive race between companies like OpenAI, Google, and Microsoft [Reference 1].\n* **Impact on Publishers:** AI technologies, such as Google’s Search Generative Experience (SGE) and Bard, are cited as directly harming news publishers by answering queries without redirecting traffic to their websites. This threatens the revenue models of media companies that rely on ad sales driven by web visits [Reference 4].\n* **Corporate Shifts:** The rise of AI has led to significant corporate shifts, such as Microsoft’s multi-billion dollar investment in OpenAI and the subsequent tensions between commercial interests and safety concerns within AI labs [Reference 1].\n\n### 4. Corporate Consolidation and Financial Scale\nThe documents highlight the enormous financial scale and interconnectedness of the tech industry.\n* **Massive Financial Flows:** The Google antitrust case reveals billions of dollars spent to maintain search dominance, while the FTX collapse (briefly mentioned in Reference 3) illustrates the extreme volatility and risks in the crypto sector, which operates somewhat parallel to these tech trends.\n* **Strategic Partnerships:** Key to the antitrust issues are the strategic partnerships between giants like Apple, Google, and Microsoft. For instance, Google pays billions to be the default search engine on Apple devices, while Microsoft invests heavily in OpenAI to compete with Google’s AI capabilities [Reference 1] [Reference 2].\n* **Market Control:** The narratives consistently show how a few entities control significant portions of digital infrastructure, from search engines and app stores to social media and cloud computing, leading to regulatory pushback aimed at restoring competition [Reference 2] [Reference 4].\n\nIn summary, the documents collectively depict a tech landscape defined by intense legal battles over monopoly power, a complex web of privacy violations vs. data utilization, and an AI revolution that is fundamentally reshaping how information is created, distributed, and monetized.\n\n
🔎 Retrieved context (1 source)\n\n**1. LightRAG knowledge graph**\n\n> Graph + vector dual retrieval (profile=graph-rag) over the corpus's extracted entities and relations.\n\n
\n\n---\n📊 18.3s · 0 chunks · 1 LLM call · 0 cloud", "answer": "Based on the provided documents, the main recurring themes revolve around **antitrust concerns, monopolistic practices, and the impact of technology giants on competition and privacy**. Specifically, these themes manifest in four key areas:\n\n### 1. Antitrust Litigation and Monopolistic Behavior\nA dominant theme across multiple documents is the legal and regulatory scrutiny faced by major technology companies, particularly Google and Apple.\n* **Google’s Dominance:** The U.S. Department of Justice (DOJ) is conducting a landmark antitrust case against Google, arguing that it uses its platforms and deals with partners to block out competition in search and advertising [Reference 2]. A new class-action lawsuit filed by *Helena World Chronicle* accuses Google of \"siphoning off\" content and revenue from news publishers through anticompetitive means [Reference 4].\n* **Apple’s Practices:** The DOJ has also investigated Apple for years regarding its policies toward third-party apps, specifically whether it unfairly favors its own products [Reference 2]. Eddy Cue’s testimony highlights that Google was the default search engine due to significant financial agreements (the Information Services Agreement), though Cue testified there were no valid alternatives worth less money [Reference 1].\n* **Legal Precedents:** These cases are framed within the broader context of tech antitrust law, referencing past battles like *U.S. v. Microsoft* and ongoing suits against Amazon and Facebook [Reference 2].\n\n### 2. Privacy vs. Data Collection\nThe tension between user privacy and data extraction for commercial or AI training purposes is a central conflict in both the Apple/Google trial and the broader tech landscape.\n* **Search Engine Deals:** The testimony from Eddy Cue focused heavily on the financial incentives that kept Google as the default search engine, despite Apple’s own efforts to protect user privacy through its platforms (like iOS) [Reference 1]. Cue criticized Google’s privacy policies while simultaneously negotiating lucrative deals with them [Reference 1].\n* **AI and Content Extraction:** The lawsuit by *Helena World Chronicle* argues that Google uses technologies like the \"Knowledge Graph\" and AI-driven search to extract information from publishers without consent, effectively misappropriating their content to build massive databases [Reference 4]. This raises concerns about how AI models are trained on vast amounts of digital text and data scraped from the web [Reference 1].\n* **Tracking and Consent:** The documents also touch on app-level privacy, such as the App Tracking Transparency pop-up that informs users when apps collect their data, highlighting the ongoing battle over user consent in the digital ecosystem [Reference 1].\n\n### 3. The Rise of Artificial Intelligence and its Disruption\nThe rapid advancement of AI is portrayed as both a source of immense value and a disruptive force threatening traditional business models.\n* **GPT-4 and AGI:** There are detailed accounts of the development of large language models like GPT-3 and GPT-4, including demonstrations to high-profile figures like Bill Gates. The narrative emphasizes the rapid progression toward Artificial General Intelligence (AGI) and the competitive race between companies like OpenAI, Google, and Microsoft [Reference 1].\n* **Impact on Publishers:** AI technologies, such as Google’s Search Generative Experience (SGE) and Bard, are cited as directly harming news publishers by answering queries without redirecting traffic to their websites. This threatens the revenue models of media companies that rely on ad sales driven by web visits [Reference 4].\n* **Corporate Shifts:** The rise of AI has led to significant corporate shifts, such as Microsoft’s multi-billion dollar investment in OpenAI and the subsequent tensions between commercial interests and safety concerns within AI labs [Reference 1].\n\n### 4. Corporate Consolidation and Financial Scale\nThe documents highlight the enormous financial scale and interconnectedness of the tech industry.\n* **Massive Financial Flows:** The Google antitrust case reveals billions of dollars spent to maintain search dominance, while the FTX collapse (briefly mentioned in Reference 3) illustrates the extreme volatility and risks in the crypto sector, which operates somewhat parallel to these tech trends.\n* **Strategic Partnerships:** Key to the antitrust issues are the strategic partnerships between giants like Apple, Google, and Microsoft. For instance, Google pays billions to be the default search engine on Apple devices, while Microsoft invests heavily in OpenAI to compete with Google’s AI capabilities [Reference 1] [Reference 2].\n* **Market Control:** The narratives consistently show how a few entities control significant portions of digital infrastructure, from search engines and app stores to social media and cloud computing, leading to regulatory pushback aimed at restoring competition [Reference 2] [Reference 4].\n\nIn summary, the documents collectively depict a tech landscape defined by intense legal battles over monopoly power, a complex web of privacy violations vs. data utilization, and an AI revolution that is fundamentally reshaping how information is created, distributed, and monetized.", "sources": [ { "title": "LightRAG knowledge graph", "score": null } ], "metrics": { "seconds": 18.297444925000036, "chunks": 0, "llm_calls": 1, "cloud_calls": 0 }, "approach_metadata": { "lightrag": { "query_profile": "graph-rag" } } }, { "query_id": "thematic", "model": "agentic-rag", "base_model": "agentic-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 5.1, "raw": "(agent reached MAX_STEPS without producing a final answer)\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n**Step 2.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n**Step 3.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n**Step 4.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n
\n\n---\n📊 5.1s · 0 chunks · 8 LLM calls · 0 cloud", "answer": "(agent reached MAX_STEPS without producing a final answer)", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 5.131585544000245, "chunks": 0, "llm_calls": 8, "cloud_calls": 0 } }, { "query_id": "thematic", "model": "n8n-adaptive-rag", "base_model": "n8n-adaptive-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 1.1, "raw": "(agent reached MAX_STEPS without producing a final answer)\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n**Step 2.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n**Step 3.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n**Step 4.** **Action:** `search_vectors(main recurring themes across all documents)`\n\n**Observation:** - subset/038-There’s something going on with AI startups in France.md: # There’s something going on with AI startups in France\n\nThere’s something going on with AI startups in France In just a few months, dozens of French entrepreneurs have turned their focus to AI\n\nLast \n- subset/031-Is Sam Bankman-\n\n
\n\n---\n📊 1.1s · 0 chunks · 9 LLM calls · 0 cloud", "answer": "(agent reached MAX_STEPS without producing a final answer)", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 1.1121387919997687, "chunks": 0, "llm_calls": 9, "cloud_calls": 0 }, "approach_metadata": { "adaptive": { "route": "complex", "approach": "agentic-rag" } } }, { "query_id": "thematic", "model": "lazy-graph-rag", "base_model": "lazy-graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 9.4, "raw": "Based on the provided documents, the main recurring themes are:\n\n1. **The Divergent Narratives of the Trial:** A central theme is the stark contrast between the prosecution's and defense's opening statements. The prosecution portrays Sam Bankman-Fried (SBF) as a deliberate fraudster who built an empire \"on lies,\" stole billions from customers, and used Alameda Research to fund a lavish lifestyle and political donations. Conversely, the defense depicts him as a well-meaning startup founder who acted in \"good faith,\" made mistakes while \"building a plane as he was flying it,\" and did not intend to defraud anyone.\n2. **The Collapse of FTX and Alameda Research:** The documents repeatedly detail how FTX, once valued at $32 billion, collapsed due to liquidity issues and the misuse of customer funds by its sister company, Alameda Research. Key factors include the exposure of Alameda's balance sheet showing excessive FTT tokens, Binance pulling out funds, and a resulting bank run that led to bankruptcy.\n3. **Misuse of Customer Funds:** Multiple sources highlight that customer deposits were used for purposes other than safekeeping, including real estate investments, political donations, paying off debts, and supporting Alameda's trading activities. Witnesses like Caroline Ellison, Gary Wang, and Peter Easton testified to this flow of funds.\n4. **SBF’s Rise, Influence, and Persona:** The texts discuss SBF’s rapid rise from an MIT graduate to a crypto mogul, his high-profile marketing deals with celebrities (Tom Brady, Steph Curry), and his significant political influence through donations. His personal style (cargo shorts) and self-proclaimed identity as an \"effective altruist\" are also recurring details.\n5. **Legal Consequences and Testimony:** The documents cover the criminal trial proceedings, including jury selection, witness testimonies (such as Caroline Ellison, Gary Wang, Adam Yedidia, and Marc-Antoine Julliard), and the potential sentencing of up to 115 years in jail. They also note that key figures like Ellison and Wang pleaded guilty and cooperated with prosecutors.\n6. **Impact on the Crypto Industry:** The collapse is described as a major event that damaged trust in the crypto sector, leading to further bankruptcies (BlockFi, Genesis) and regulatory scrutiny, with some commentators suggesting it set back crypto adoption.\n\n
🔎 Retrieved context (8 sources)\n\n**1. subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md** · score 72.000\n\n> # Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement\n\nWho is Sam Bankman-Fried, the former CEO of crypto exchange FTX? Is he a liar and a fraud? Or did he act in good faith, and like many a startup founder, fly\n\n**2. subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md** · score 33.000\n\n> Alameda was not subterranean or shady. It was a successful hedge fund, he said. FTX was no Ponzi scheme. It was a “very innovative, successful company.” And the business practices between the two were reasonable, he argued, claiming that Al\n\n**3. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 18.000\n\n> # SBF’s trial starts soon, but how did he — and FTX — get here?\n\nSBF’s trial has started, this is how he and FTX got here\n\nThe highly anticipated criminal trial for Sam Bankman-Fried, former CEO of bankrupt crypto exchange FTX, started Tues\n\n**4. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 15.600\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**5. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 13.000\n\n> “If you watch the clip, you’ll see his eyes going back and forth,” he said. “It’s because he’s trying to win his video game at the same time he’s on the air.”\n\n“If you watch the clip, you’ll see his eyes going back and forth. It’s because h\n\n**6. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 12.000\n\n> Bankman-Fried, however, maintained his innocence. At The New York Times’ DealBook Summit, he appeared virtually from the Bahamas, saying “I didn’t ever try to commit fraud on anyone; I was shocked by what happened this month.” In a publishe\n\n**7. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 9.000\n\n> The Michael Lewis interview is infuriating. SBF was a scumbag, and now we need to hear about his “tragic fall” in the MSM because Sam told them he was an “effective altruist” and people like Michael Lewis were so far up his ass they couldn’\n\n**8. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 6.750\n\n> And earlier in the week, a University of Notre Dame professor who helped the government prosecution of Enron and WorldCom, Peter Easton, testified about what he uncovered after tracing the flow of billions of dollars between Alameda Researc\n\n
\n\n---\n📊 9.4s · 8 chunks · 2 LLM calls · 0 cloud", "answer": "Based on the provided documents, the main recurring themes are:\n\n1. **The Divergent Narratives of the Trial:** A central theme is the stark contrast between the prosecution's and defense's opening statements. The prosecution portrays Sam Bankman-Fried (SBF) as a deliberate fraudster who built an empire \"on lies,\" stole billions from customers, and used Alameda Research to fund a lavish lifestyle and political donations. Conversely, the defense depicts him as a well-meaning startup founder who acted in \"good faith,\" made mistakes while \"building a plane as he was flying it,\" and did not intend to defraud anyone.\n2. **The Collapse of FTX and Alameda Research:** The documents repeatedly detail how FTX, once valued at $32 billion, collapsed due to liquidity issues and the misuse of customer funds by its sister company, Alameda Research. Key factors include the exposure of Alameda's balance sheet showing excessive FTT tokens, Binance pulling out funds, and a resulting bank run that led to bankruptcy.\n3. **Misuse of Customer Funds:** Multiple sources highlight that customer deposits were used for purposes other than safekeeping, including real estate investments, political donations, paying off debts, and supporting Alameda's trading activities. Witnesses like Caroline Ellison, Gary Wang, and Peter Easton testified to this flow of funds.\n4. **SBF’s Rise, Influence, and Persona:** The texts discuss SBF’s rapid rise from an MIT graduate to a crypto mogul, his high-profile marketing deals with celebrities (Tom Brady, Steph Curry), and his significant political influence through donations. His personal style (cargo shorts) and self-proclaimed identity as an \"effective altruist\" are also recurring details.\n5. **Legal Consequences and Testimony:** The documents cover the criminal trial proceedings, including jury selection, witness testimonies (such as Caroline Ellison, Gary Wang, Adam Yedidia, and Marc-Antoine Julliard), and the potential sentencing of up to 115 years in jail. They also note that key figures like Ellison and Wang pleaded guilty and cooperated with prosecutors.\n6. **Impact on the Crypto Industry:** The collapse is described as a major event that damaged trust in the crypto sector, leading to further bankruptcies (BlockFi, Genesis) and regulatory scrutiny, with some commentators suggesting it set back crypto adoption.", "sources": [ { "title": "subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md", "score": 72.0 }, { "title": "subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md", "score": 33.0 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 18.0 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 15.6 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 13.0 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 12.0 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 9.0 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 6.75 } ], "metrics": { "seconds": 9.38961462899988, "chunks": 8, "llm_calls": 2, "cloud_calls": 0 }, "approach_metadata": { "lazy_graph": { "experimental": true, "cache_hit": true, "index_seconds": 0.0046, "graph_chunks": 30, "graph_concepts": 453, "graph_edges": 7523, "relevance_tests": 24, "relevance_budget": 24, "seed_k": 8, "max_context_chunks": 8, "llm_index_calls": 0, "cache_namespace": "RagBase_baseline_curated.concepts-24" } } }, { "query_id": "multihop", "model": "vanilla-rag", "base_model": "vanilla-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 5.6, "raw": "The provided context does not contain information about a single specific event being analyzed by two different sources in a way that allows for a direct comparison and reconciliation of their conclusions.\n\nWhile Source [1] and Source [3] both discuss the Sam Bankman-Fried (SBF) trial, they do so from different angles:\n* **Source [1]** focuses on procedural updates, noting that SBF is taking the stand as a \"Hail Mary\" strategy and highlighting testimony from witnesses like Can Sun and Robert Boroujerdi regarding the lack of awareness about the relationship between FTX and Alameda Research.\n* **Source [3]** focuses on the opposing opening statements: the prosecution's claim that SBF was a \"conscious criminal\" who stole billions, versus the defense's claim that he was a well-meaning founder who acted in good faith.\n\nWhile Source [2] discusses conflicts between figures like Elon Musk and Sam Altman regarding AI, it does not present two sources reconciling their views on a specific event; rather, it describes their mutual distrust and falling out.\n\nSource [5] details Apple's defense of its Google Search deal but does not offer a second source's conclusion to reconcile with Apple's position.\n\nTherefore, the context is insufficient to compare and reconcile conclusions from two different sources on the same event.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md**\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> # How ego and fear fuelled the rise of artificial intelligence\n\nBut eight years later, the argument between the two men seems prescient. The question of whether AI will elevate the world or destroy it – or at least inflict grave damage – ha\n\n**3. subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md**\n\n> # Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement\n\nWho is Sam Bankman-Fried, the former CEO of crypto exchange FTX? Is he a liar and a fraud? Or did he act in good faith, and like many a startup founder, fly\n\n**4. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n**5. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md**\n\n> # Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\nEddy Cue, in a dark suit, peered down at the monitor in front of him. The screens in the Washington, DC, courtroom had briefly malfunctioned and left witnesses\n\n
\n\n---\n📊 5.6s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The provided context does not contain information about a single specific event being analyzed by two different sources in a way that allows for a direct comparison and reconciliation of their conclusions.\n\nWhile Source [1] and Source [3] both discuss the Sam Bankman-Fried (SBF) trial, they do so from different angles:\n* **Source [1]** focuses on procedural updates, noting that SBF is taking the stand as a \"Hail Mary\" strategy and highlighting testimony from witnesses like Can Sun and Robert Boroujerdi regarding the lack of awareness about the relationship between FTX and Alameda Research.\n* **Source [3]** focuses on the opposing opening statements: the prosecution's claim that SBF was a \"conscious criminal\" who stole billions, versus the defense's claim that he was a well-meaning founder who acted in good faith.\n\nWhile Source [2] discusses conflicts between figures like Elon Musk and Sam Altman regarding AI, it does not present two sources reconciling their views on a specific event; rather, it describes their mutual distrust and falling out.\n\nSource [5] details Apple's defense of its Google Search deal but does not offer a second source's conclusion to reconcile with Apple's position.\n\nTherefore, the context is insufficient to compare and reconcile conclusions from two different sources on the same event.", "sources": [ { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null }, { "title": "subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": null } ], "metrics": { "seconds": 5.588598126999841, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "multihop", "model": "hybrid-rag", "base_model": "hybrid-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 17.8, "raw": "The provided context does not contain information regarding a single specific event where two different sources offer conflicting conclusions that can be reconciled. The text discusses multiple distinct topics (the US v Google trial, the SBF/FTX trial, and the history of AI acquisitions) but does not present contradictory accounts of the same event from different sources within those sections. Therefore, the context is insufficient to answer the question.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.125\n\n> The EU’s antitrust order forced Google to offer Android phone users a screen with five search engine options to choose from, according to the DOJ. In response, Google enacted a plan, which execs dubbed “Go Big in Europe,” to enhance search \n\n**2. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 0.115\n\n> Bankman-Fried, however, maintained his innocence. At The New York Times’ DealBook Summit, he appeared virtually from the Bahamas, saying “I didn’t ever try to commit fraud on anyone; I was shocked by what happened this month.” In a publishe\n\n**3. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.084\n\n> Google, Microsoft, Baidu and other companies were beginning to believe that neural networks were a path to machines that could not only see but also hear, write, talk and — eventually — think. Loading Page had seen similar technology at Goo\n\n**4. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 0.070\n\n> And earlier in the week, a University of Notre Dame professor who helped the government prosecution of Enron and WorldCom, Peter Easton, testified about what he uncovered after tracing the flow of billions of dollars between Alameda Researc\n\n**5. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.058\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n
\n\n---\n📊 17.8s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The provided context does not contain information regarding a single specific event where two different sources offer conflicting conclusions that can be reconciled. The text discusses multiple distinct topics (the US v Google trial, the SBF/FTX trial, and the history of AI acquisitions) but does not present contradictory accounts of the same event from different sources within those sections. Therefore, the context is insufficient to answer the question.", "sources": [ { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.12468882 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 0.11510988 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.08389301 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 0.070361875 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.057687063 } ], "metrics": { "seconds": 17.80644700899984, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "multihop", "model": "contextual-rag", "base_model": "contextual-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 19.0, "raw": "The provided context does not contain information about two different sources concluding on the same specific event in a way that allows for reconciliation. While Source [1] discusses Mozilla CEO Mitchell Baker's testimony regarding Google's search quality and Source [2] details the bidding war for Geoffrey Hinton, these are distinct events. Source [3], [4], and [5] discuss Sam Bankman-Fried (SBF) and FTX; while they offer different perspectives on SBF (e.g., Michael Lewis's portrayal vs. public criticism in Source [3], or prosecution vs. defense arguments in Source [5]), the text does not provide a reconciliation of these differing conclusions, nor does it present two distinct sources that have reached a reconciled conclusion on a single event. Therefore, the context is insufficient to answer the question as posed.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.148\n\n> This section details how European antitrust fines prompted Google to enhance its search quality in Europe and includes Mozilla CEO Mitchell Baker's testimony regarding the superior user experience of Google Search compared to Yahoo.\n\nThe EU\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.121\n\n> This passage details the high-stakes talent auction for Geoffrey Hinton and his students in 2012, which triggered a bidding war among tech giants and ultimately led to Google's acquisition of DeepMind under specific ethical conditions.\n\nGoo\n\n**3. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 0.097\n\n> This section discusses the polarized public reaction to Michael Lewis's portrayal of Sam Bankman-Fried and analyzes the ambiguous narrative surrounding FTX's collapse, contrasting views on whether it was intentional fraud or a failure to ma\n\n**4. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 0.084\n\n> This section introduces Michael Lewis's upcoming book \"Going Infinite,\" which chronicles Sam Bankman-Fried's rise and fall, noting that Lewis was initially introduced to SBF by a friend seeking to evaluate his character before investing in \n\n**5. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 0.083\n\n> This section details key testimonies from week three, week two, and week one of the SBF trial, highlighting evidence of misused customer funds and contrasting prosecution and defense arguments regarding FTX's collapse.\n\nAnd earlier in the w\n\n
\n\n---\n📊 19.0s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The provided context does not contain information about two different sources concluding on the same specific event in a way that allows for reconciliation. While Source [1] discusses Mozilla CEO Mitchell Baker's testimony regarding Google's search quality and Source [2] details the bidding war for Geoffrey Hinton, these are distinct events. Source [3], [4], and [5] discuss Sam Bankman-Fried (SBF) and FTX; while they offer different perspectives on SBF (e.g., Michael Lewis's portrayal vs. public criticism in Source [3], or prosecution vs. defense arguments in Source [5]), the text does not provide a reconciliation of these differing conclusions, nor does it present two distinct sources that have reached a reconciled conclusion on a single event. Therefore, the context is insufficient to answer the question as posed.", "sources": [ { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.14834228 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.12057082 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 0.097254045 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 0.0842925 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 0.08314248 } ], "metrics": { "seconds": 18.996599634000177, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "multihop", "model": "graph-rag", "base_model": "graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 18.5, "raw": "Based on the provided context, I cannot fully reconcile the conclusions of two different sources on the **same specific event** because the available information primarily details conflicting narratives or separate legal/commercial matters rather than a single event analyzed by two distinct sources with opposing final judgments on that exact same point. However, I can compare the conflicting narratives presented during the **SBF trial** and the separate commercial/legal situations involving **Apple/Google** and **FTX**.\n\n### 1. The SBF Trial: Conflicting Narratives of Intent\nThe most prominent comparison of \"two different sources\" (prosecution vs. defense) in the context regards the collapse of FTX and Sam Bankman-Fried’s actions. These are not two independent third-party sources concluding on an event, but rather the opposing legal teams presenting their versions of events:\n\n* **The Prosecution’s Conclusion:** The prosecution concluded that SBF was a \"conscious criminal\" who built his empire on lies. They asserted that he stole billions of dollars from thousands of victims to fund a lavish lifestyle, political donations, and risky bets. They characterized him not as a misguided founder but as a villain who defrauded sophisticated investors, lenders, and ordinary customers by using Alameda Research to gain secret access to customer funds (Document Chunk [3]).\n* **The Defense’s Conclusion:** Conversely, the defense concluded that SBF acted in \"good faith\" and did not defraud anyone. They depicted him as a well-meaning startup founder who was \"building a plane as he was flying it.\" The defense argued that FTX was a successful company and Alameda was a legitimate hedge fund, claiming that any issues were due to the inherent risks of the crypto market and poor protection by Alameda’s CEO, Caroline Ellison, rather than criminal intent (Document Chunk [3]).\n\n**Reconciliation Attempt:** These two conclusions cannot be reconciled as factual consensus; they represent the core adversarial nature of the trial. The \"reconciliation\" is that the jury must weigh these contradictory accounts to determine which narrative reflects reality. The context notes that SBF’s testimony was described by former prosecutor Josh Naftalis as a \"Hail Mary,\" suggesting the defense's conclusion might be a last-ditch effort rather than an established fact (Document Chunk [2]).\n\n### 2. Apple and Google: Revenue-Share Disagreements\nAnother comparison can be made regarding the business relationship between Apple and Google, specifically concerning the **Information Services Agreement (ISA)** that made Google the default search engine on Apple devices.\n\n* **Eddy Cue’s Testimony:** Eddy Cue, a senior Apple executive, testified about the negotiation of the revenue-share figure in this deal. His testimony implies that significant financial terms were negotiated between the two tech giants, focusing on the monetary aspect of their partnership (Knowledge Graph Data).\n* **DuckDuckGo’s Perspective:** In contrast, DuckDuckGo’s CEO testified in a different trial (the US v. Google antitrust trial) that switching from Google is difficult due to \"too many steps,\" highlighting competitive barriers rather than revenue-sharing specifics. This provides a third-party perspective on Google’s market dominance but does not directly contradict the Apple-Google revenue figure but rather highlights Google’s power (Knowledge Graph Data; Document Chunk [3] context implies Google's dominant position).\n\n*Note: The context does not provide a direct contradiction between two sources on the *same specific apple-google event* other than implying different aspects of their relationship (financial deal vs. market dominance).*\n\n### 3. FTX’s Status: Valuation vs. Fraud\nThere is also a stark contrast in how FTX was viewed before and after its collapse:\n\n* **Pre-Collapse View:** FTX was valued at $32 billion, and SBF was seen by some (like those who read Michael Lewis’s book) as a brilliant financier aiming to save humanity, with significant backing from major investors (Document Chunk [4]).\n* **Post-Collapse/Prosecution View:** The current conclusion, supported by testimony from witnesses like Caroline Ellison and Peter Easton, is that FTX’s value was built on fraud, with customer funds misappropriated for real estate, investments, and political causes (Document Chunk [2]; Knowledge Graph Data).\n\n### Conclusion\nThe context provides **conflicting legal narratives** (Prosecution vs. Defense) regarding SBF’s intent during the FTX collapse, which cannot be reconciled into a single fact within the provided text. It also shows **different aspects** of major tech relationships (Apple/Google revenue deals vs. Google’s competitive practices), but not direct opposing conclusions on the same event from two independent analytical sources. Therefore, I do not have enough information to reconcile two distinct third-party analyses of the same event.\n\n### References\n\n- [1] SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n- [2] Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement\n- [3] Helena World Chronicle, LLC v. Google LLC and Alphabet Inc by TechCrunch on Scribd\n- [4] SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-\n\n
🔎 Retrieved context (1 source)\n\n**1. LightRAG knowledge graph**\n\n> Graph + vector dual retrieval (profile=graph-rag) over the corpus's extracted entities and relations.\n\n
\n\n---\n📊 18.5s · 0 chunks · 1 LLM call · 0 cloud", "answer": "Based on the provided context, I cannot fully reconcile the conclusions of two different sources on the **same specific event** because the available information primarily details conflicting narratives or separate legal/commercial matters rather than a single event analyzed by two distinct sources with opposing final judgments on that exact same point. However, I can compare the conflicting narratives presented during the **SBF trial** and the separate commercial/legal situations involving **Apple/Google** and **FTX**.\n\n### 1. The SBF Trial: Conflicting Narratives of Intent\nThe most prominent comparison of \"two different sources\" (prosecution vs. defense) in the context regards the collapse of FTX and Sam Bankman-Fried’s actions. These are not two independent third-party sources concluding on an event, but rather the opposing legal teams presenting their versions of events:\n\n* **The Prosecution’s Conclusion:** The prosecution concluded that SBF was a \"conscious criminal\" who built his empire on lies. They asserted that he stole billions of dollars from thousands of victims to fund a lavish lifestyle, political donations, and risky bets. They characterized him not as a misguided founder but as a villain who defrauded sophisticated investors, lenders, and ordinary customers by using Alameda Research to gain secret access to customer funds (Document Chunk [3]).\n* **The Defense’s Conclusion:** Conversely, the defense concluded that SBF acted in \"good faith\" and did not defraud anyone. They depicted him as a well-meaning startup founder who was \"building a plane as he was flying it.\" The defense argued that FTX was a successful company and Alameda was a legitimate hedge fund, claiming that any issues were due to the inherent risks of the crypto market and poor protection by Alameda’s CEO, Caroline Ellison, rather than criminal intent (Document Chunk [3]).\n\n**Reconciliation Attempt:** These two conclusions cannot be reconciled as factual consensus; they represent the core adversarial nature of the trial. The \"reconciliation\" is that the jury must weigh these contradictory accounts to determine which narrative reflects reality. The context notes that SBF’s testimony was described by former prosecutor Josh Naftalis as a \"Hail Mary,\" suggesting the defense's conclusion might be a last-ditch effort rather than an established fact (Document Chunk [2]).\n\n### 2. Apple and Google: Revenue-Share Disagreements\nAnother comparison can be made regarding the business relationship between Apple and Google, specifically concerning the **Information Services Agreement (ISA)** that made Google the default search engine on Apple devices.\n\n* **Eddy Cue’s Testimony:** Eddy Cue, a senior Apple executive, testified about the negotiation of the revenue-share figure in this deal. His testimony implies that significant financial terms were negotiated between the two tech giants, focusing on the monetary aspect of their partnership (Knowledge Graph Data).\n* **DuckDuckGo’s Perspective:** In contrast, DuckDuckGo’s CEO testified in a different trial (the US v. Google antitrust trial) that switching from Google is difficult due to \"too many steps,\" highlighting competitive barriers rather than revenue-sharing specifics. This provides a third-party perspective on Google’s market dominance but does not directly contradict the Apple-Google revenue figure but rather highlights Google’s power (Knowledge Graph Data; Document Chunk [3] context implies Google's dominant position).\n\n*Note: The context does not provide a direct contradiction between two sources on the *same specific apple-google event* other than implying different aspects of their relationship (financial deal vs. market dominance).*\n\n### 3. FTX’s Status: Valuation vs. Fraud\nThere is also a stark contrast in how FTX was viewed before and after its collapse:\n\n* **Pre-Collapse View:** FTX was valued at $32 billion, and SBF was seen by some (like those who read Michael Lewis’s book) as a brilliant financier aiming to save humanity, with significant backing from major investors (Document Chunk [4]).\n* **Post-Collapse/Prosecution View:** The current conclusion, supported by testimony from witnesses like Caroline Ellison and Peter Easton, is that FTX’s value was built on fraud, with customer funds misappropriated for real estate, investments, and political causes (Document Chunk [2]; Knowledge Graph Data).\n\n### Conclusion\nThe context provides **conflicting legal narratives** (Prosecution vs. Defense) regarding SBF’s intent during the FTX collapse, which cannot be reconciled into a single fact within the provided text. It also shows **different aspects** of major tech relationships (Apple/Google revenue deals vs. Google’s competitive practices), but not direct opposing conclusions on the same event from two independent analytical sources. Therefore, I do not have enough information to reconcile two distinct third-party analyses of the same event.\n\n### References\n\n- [1] SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n- [2] Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement\n- [3] Helena World Chronicle, LLC v. Google LLC and Alphabet Inc by TechCrunch on Scribd\n- [4] SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-", "sources": [ { "title": "LightRAG knowledge graph", "score": null } ], "metrics": { "seconds": 18.51744038400011, "chunks": 0, "llm_calls": 1, "cloud_calls": 0 }, "approach_metadata": { "lightrag": { "query_profile": "graph-rag" } } }, { "query_id": "multihop", "model": "agentic-rag", "base_model": "agentic-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 3.3, "raw": "To provide a meaningful comparison and reconciliation, I need to know which specific **event** you are referring to. \"The same event\" is too broad without context (e.g., the signing of the Magna Carta, the Apollo 11 moon landing, the fall of the Berlin Wall, a specific scientific discovery, etc.).\n\nPlease specify:\n1. **The Event**: What historical or contemporary event do you want analyzed?\n2. **(Optional) The Sources**: Do you have two specific sources in mind (e.g., Source A vs. Source B)? If not, I can select two prominent or contrasting sources for that event.\n\nOnce you provide the event, I will:\n1. Use **search_vectors** to find summaries or excerpts from different sources regarding that event.\n2. Use **query_graph** if needed to understand the relationships between the entities involved in those sources.\n3. Compare their conclusions (e.g., causes, outcomes, significance).\n4. Reconcile any discrepancies by analyzing context, bias, or new evidence.\n\nPlease provide the event you'd like me to analyze.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> (answered without retrieval)\n\n
\n\n---\n📊 3.2s · 0 chunks · 1 LLM call · 0 cloud", "answer": "To provide a meaningful comparison and reconciliation, I need to know which specific **event** you are referring to. \"The same event\" is too broad without context (e.g., the signing of the Magna Carta, the Apollo 11 moon landing, the fall of the Berlin Wall, a specific scientific discovery, etc.).\n\nPlease specify:\n1. **The Event**: What historical or contemporary event do you want analyzed?\n2. **(Optional) The Sources**: Do you have two specific sources in mind (e.g., Source A vs. Source B)? If not, I can select two prominent or contrasting sources for that event.\n\nOnce you provide the event, I will:\n1. Use **search_vectors** to find summaries or excerpts from different sources regarding that event.\n2. Use **query_graph** if needed to understand the relationships between the entities involved in those sources.\n3. Compare their conclusions (e.g., causes, outcomes, significance).\n4. Reconcile any discrepancies by analyzing context, bias, or new evidence.\n\nPlease provide the event you'd like me to analyze.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 3.239870251999946, "chunks": 0, "llm_calls": 1, "cloud_calls": 0 } }, { "query_id": "multihop", "model": "n8n-adaptive-rag", "base_model": "n8n-adaptive-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 0.6, "raw": "To provide a meaningful comparison and reconciliation, I need to know which specific **event** you are referring to. \"The same event\" is too broad without context (e.g., the signing of the Magna Carta, the Apollo 11 moon landing, the fall of the Berlin Wall, a specific scientific discovery, etc.).\n\nPlease specify:\n1. **The Event**: What historical or contemporary event do you want analyzed?\n2. **(Optional) The Sources**: Do you have two specific sources in mind (e.g., Source A vs. Source B)? If not, I can select two prominent or contrasting sources for that event.\n\nOnce you provide the event, I will:\n1. Use **search_vectors** to find summaries or excerpts from different sources regarding that event.\n2. Use **query_graph** if needed to understand the relationships between the entities involved in those sources.\n3. Compare their conclusions (e.g., causes, outcomes, significance).\n4. Reconcile any discrepancies by analyzing context, bias, or new evidence.\n\nPlease provide the event you'd like me to analyze.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> (answered without retrieval)\n\n
\n\n---\n📊 0.5s · 0 chunks · 2 LLM calls · 0 cloud", "answer": "To provide a meaningful comparison and reconciliation, I need to know which specific **event** you are referring to. \"The same event\" is too broad without context (e.g., the signing of the Magna Carta, the Apollo 11 moon landing, the fall of the Berlin Wall, a specific scientific discovery, etc.).\n\nPlease specify:\n1. **The Event**: What historical or contemporary event do you want analyzed?\n2. **(Optional) The Sources**: Do you have two specific sources in mind (e.g., Source A vs. Source B)? If not, I can select two prominent or contrasting sources for that event.\n\nOnce you provide the event, I will:\n1. Use **search_vectors** to find summaries or excerpts from different sources regarding that event.\n2. Use **query_graph** if needed to understand the relationships between the entities involved in those sources.\n3. Compare their conclusions (e.g., causes, outcomes, significance).\n4. Reconcile any discrepancies by analyzing context, bias, or new evidence.\n\nPlease provide the event you'd like me to analyze.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 0.4654654999999366, "chunks": 0, "llm_calls": 2, "cloud_calls": 0 }, "approach_metadata": { "adaptive": { "route": "complex", "approach": "agentic-rag" } } }, { "query_id": "multihop", "model": "lazy-graph-rag", "base_model": "lazy-graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 7.6, "raw": "The provided context does not contain information regarding a single specific event where two different sources offer conflicting conclusions that can be directly compared and reconciled within the text. The documents discuss separate topics:\n\n1. **Sources [1], [2], [3], [4], and [7]** discuss the rise of artificial intelligence, focusing on figures like Demis Hassabis, Peter Thiel, Elon Musk, Sam Altman, and Geoffrey Hinton. While they mention differing perspectives (e.g., Musk's fear of AI vs. Page's optimism, or the prosecution's view of Bankman-Fried vs. his defense), these are not presented as two distinct sources analyzing the *same* event with conflicting conclusions that the text reconciles. For instance, the text describes the OpenAI boardroom drama and Musk's departure but does not present a second source offering a contradictory conclusion on that specific event to reconcile.\n2. **Sources [5] and [6]** discuss the trial of Sam Bankman-Fried (SBF). They present the prosecution's view (that he stole billions and lied) and his defense's view (that he acted in good faith and didn't defraud anyone). However, the text does not provide a conclusion from two different sources that reconciles these views; it simply reports the opposing opening statements.\n3. **Source [8]** discusses Michael Lewis's interview with SBF and includes criticism of Lewis by others (Ryan Selkis, Dan Held), but it does not present two sources concluding on the same event in a way that allows for reconciliation within the provided text.\n\nTherefore, the context is insufficient to answer the question as there is no specific event where two different sources' conclusions are presented and reconciled.\n\n
🔎 Retrieved context (8 sources)\n\n**1. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 76.000\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 19.600\n\n> # How ego and fear fuelled the rise of artificial intelligence\n\nBut eight years later, the argument between the two men seems prescient. The question of whether AI will elevate the world or destroy it – or at least inflict grave damage – ha\n\n**3. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 16.000\n\n> They named their company DeepMind, a nod to “deep learning,” a way for AI systems to learn skills by analysing large amounts of data; to neuroscience; and to the Deep Thought supercomputer from the sci-fi novel The Hitchhiker’s Guide to the\n\n**4. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 9.000\n\n> Convinced that Page’s optimistic view of AI was dead wrong, and angry at his loss of DeepMind, Musk built his own lab. OpenAI was founded in late 2015, just a few months after he met with Altman at the Rosewood hotel in Silicon Valley. Sam \n\n**5. subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md** · score 8.500\n\n> Alameda was not subterranean or shady. It was a successful hedge fund, he said. FTX was no Ponzi scheme. It was a “very innovative, successful company.” And the business practices between the two were reasonable, he argued, claiming that Al\n\n**6. subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md** · score 7.000\n\n> # Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement\n\nWho is Sam Bankman-Fried, the former CEO of crypto exchange FTX? Is he a liar and a fraud? Or did he act in good faith, and like many a startup founder, fly\n\n**7. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 6.000\n\n> Google, Microsoft, Baidu and other companies were beginning to believe that neural networks were a path to machines that could not only see but also hear, write, talk and — eventually — think. Loading Page had seen similar technology at Goo\n\n**8. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 6.000\n\n> The Michael Lewis interview is infuriating. SBF was a scumbag, and now we need to hear about his “tragic fall” in the MSM because Sam told them he was an “effective altruist” and people like Michael Lewis were so far up his ass they couldn’\n\n
\n\n---\n📊 7.6s · 8 chunks · 2 LLM calls · 0 cloud", "answer": "The provided context does not contain information regarding a single specific event where two different sources offer conflicting conclusions that can be directly compared and reconciled within the text. The documents discuss separate topics:\n\n1. **Sources [1], [2], [3], [4], and [7]** discuss the rise of artificial intelligence, focusing on figures like Demis Hassabis, Peter Thiel, Elon Musk, Sam Altman, and Geoffrey Hinton. While they mention differing perspectives (e.g., Musk's fear of AI vs. Page's optimism, or the prosecution's view of Bankman-Fried vs. his defense), these are not presented as two distinct sources analyzing the *same* event with conflicting conclusions that the text reconciles. For instance, the text describes the OpenAI boardroom drama and Musk's departure but does not present a second source offering a contradictory conclusion on that specific event to reconcile.\n2. **Sources [5] and [6]** discuss the trial of Sam Bankman-Fried (SBF). They present the prosecution's view (that he stole billions and lied) and his defense's view (that he acted in good faith and didn't defraud anyone). However, the text does not provide a conclusion from two different sources that reconciles these views; it simply reports the opposing opening statements.\n3. **Source [8]** discusses Michael Lewis's interview with SBF and includes criticism of Lewis by others (Ryan Selkis, Dan Held), but it does not present two sources concluding on the same event in a way that allows for reconciliation within the provided text.\n\nTherefore, the context is insufficient to answer the question as there is no specific event where two different sources' conclusions are presented and reconciled.", "sources": [ { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 76.0 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 19.6 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 16.0 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 9.0 }, { "title": "subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md", "score": 8.5 }, { "title": "subset/031-Is Sam Bankman-Fried a bad ‘man’ or a good ‘boy’? Lawyers swap opening statement.md", "score": 7.0 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 6.0 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 6.0 } ], "metrics": { "seconds": 7.582545419000326, "chunks": 8, "llm_calls": 2, "cloud_calls": 0 }, "approach_metadata": { "lazy_graph": { "experimental": true, "cache_hit": true, "index_seconds": 0.004976, "graph_chunks": 30, "graph_concepts": 453, "graph_edges": 7523, "relevance_tests": 24, "relevance_budget": 24, "seed_k": 8, "max_context_chunks": 8, "llm_index_calls": 0, "cache_namespace": "RagBase_baseline_curated.concepts-24" } } }, { "query_id": "factoid", "model": "vanilla-rag", "base_model": "vanilla-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 2.2, "raw": "The firmware version referenced in the widget bootloader error is v4.2.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md**\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md**\n\n> # Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\nEddy Cue, in a dark suit, peered down at the monitor in front of him. The screens in the Washington, DC, courtroom had briefly malfunctioned and left witnesses\n\n**3. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md**\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**4. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md**\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**5. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n
\n\n---\n📊 2.1s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The firmware version referenced in the widget bootloader error is v4.2.", "sources": [ { "title": "subset/widget-error-codes.md", "score": null }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": null }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": null }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null } ], "metrics": { "seconds": 2.137901834999866, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "factoid", "model": "hybrid-rag", "base_model": "hybrid-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 16.3, "raw": "The firmware version referenced in the widget bootloader error is v4.2.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.414\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.002\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**3. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.002\n\n> # Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\nEddy Cue, in a dark suit, peered down at the monitor in front of him. The screens in the Washington, DC, courtroom had briefly malfunctioned and left witnesses\n\n**4. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.002\n\n> Bellshaw asked Cue a number of questions about the iPhone setup process. Those three screenshots showed the Appearance screen that shows up when you first boot up your iPhone so you can pick font sizes; the location-tracking prompt that app\n\n**5. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 0.001\n\n> Bankman-Fried, however, maintained his innocence. At The New York Times’ DealBook Summit, he appeared virtually from the Bahamas, saying “I didn’t ever try to commit fraud on anyone; I was shocked by what happened this month.” In a publishe\n\n
\n\n---\n📊 16.3s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The firmware version referenced in the widget bootloader error is v4.2.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.41420636 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.0021809598 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.001823571 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.0016669283 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 0.0014809029 } ], "metrics": { "seconds": 16.28096213200024, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "factoid", "model": "contextual-rag", "base_model": "contextual-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 16.4, "raw": "The firmware version referenced in the widget bootloader error is v4.2.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.227\n\n> This section lists specific error codes for the Acme Widget, detailing their causes and required resolution steps. It serves as a quick reference guide for troubleshooting common hardware and software issues.\n\n# Acme Widget Error Code Refer\n\n**2. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.002\n\n> This section details Eddy Cue's testimony regarding the Information Services Agreement and his assertion that Google was the only viable search engine alternative, which serves as a central point of contention in the US Department of Justic\n\n**3. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.002\n\n> This chunk details Apple executive Eddy Cue's testimony regarding the iPhone setup process and his defense of Google as the default search engine, addressing DOJ concerns about user choice and privacy. It highlights the tension between Appl\n\n**4. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.002\n\n> This section details evidence from Google's antitrust trial regarding its most lucrative search queries, its agreements with Android manufacturers to pre-install and default its apps, and complaints from competitors like Expedia about ad co\n\n**5. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 0.001\n\n> This section details the immediate aftermath of FTX's collapse, covering Sam Bankman-Fried's arrest and legal proceedings, the guilty pleas of key associates, and the broader impact on the crypto industry. It sets the stage for his ongoing \n\n
\n\n---\n📊 16.4s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The firmware version referenced in the widget bootloader error is v4.2.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.22662619 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.0016460926 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.0015829464 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.0015635296 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 0.0013889452 } ], "metrics": { "seconds": 16.388361967000037, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "factoid", "model": "graph-rag", "base_model": "graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 5.0, "raw": "Based on the provided knowledge base, the firmware version referenced in the widget bootloader error is **v4.2**.\n\nThe error code **WIDGET-ERR-1188** indicates a firmware signature mismatch that occurs specifically during the bootloader process of **Bootloader v4.2** [1].\n\n### References\n\n- [1] atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt\n\n
🔎 Retrieved context (1 source)\n\n**1. LightRAG knowledge graph**\n\n> Graph + vector dual retrieval (profile=graph-rag) over the corpus's extracted entities and relations.\n\n
\n\n---\n📊 5.0s · 0 chunks · 1 LLM call · 0 cloud", "answer": "Based on the provided knowledge base, the firmware version referenced in the widget bootloader error is **v4.2**.\n\nThe error code **WIDGET-ERR-1188** indicates a firmware signature mismatch that occurs specifically during the bootloader process of **Bootloader v4.2** [1].\n\n### References\n\n- [1] atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt", "sources": [ { "title": "LightRAG knowledge graph", "score": null } ], "metrics": { "seconds": 4.979662418999851, "chunks": 0, "llm_calls": 1, "cloud_calls": 0 }, "approach_metadata": { "lightrag": { "query_profile": "graph-rag" } } }, { "query_id": "factoid", "model": "agentic-rag", "base_model": "agentic-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 5.2, "raw": "(agent reached MAX_STEPS without producing a final answer)\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(widget bootloader error firmware version)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/009-SBF Trial: The latest updates from the FTX collapse’s \n\n**Step 2.** **Action:** `search_vectors(widget bootloader error firmware version)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/009-SBF Trial: The latest updates from the FTX collapse’s \n\n**Step 3.** **Action:** `search_vectors(widget bootloader error firmware version)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/009-SBF Trial: The latest updates from the FTX collapse’s \n\n**Step 4.** **Action:** `search_vectors(widget bootloader error firmware version)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/009-SBF Trial: The latest updates from the FTX collapse’s \n\n
\n\n---\n📊 5.2s · 0 chunks · 8 LLM calls · 0 cloud", "answer": "(agent reached MAX_STEPS without producing a final answer)", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 5.181371835999926, "chunks": 0, "llm_calls": 8, "cloud_calls": 0 } }, { "query_id": "factoid", "model": "n8n-adaptive-rag", "base_model": "n8n-adaptive-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 0.6, "raw": "The firmware version referenced in the widget bootloader error is v4.2.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md**\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md**\n\n> # Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\nEddy Cue, in a dark suit, peered down at the monitor in front of him. The screens in the Washington, DC, courtroom had briefly malfunctioned and left witnesses\n\n**3. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md**\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**4. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md**\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**5. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n
\n\n---\n📊 0.6s · 5 chunks · 3 LLM calls · 0 cloud", "answer": "The firmware version referenced in the widget bootloader error is v4.2.", "sources": [ { "title": "subset/widget-error-codes.md", "score": null }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": null }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": null }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null } ], "metrics": { "seconds": 0.6265630840002814, "chunks": 5, "llm_calls": 3, "cloud_calls": 0 }, "approach_metadata": { "adaptive": { "route": "simple", "approach": "vanilla-rag" } } }, { "query_id": "factoid", "model": "lazy-graph-rag", "base_model": "lazy-graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 2.8, "raw": "The firmware version referenced in the widget bootloader error is v4.2.\n\n
🔎 Retrieved context (8 sources)\n\n**1. subset/widget-error-codes.md** · score 77.000\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 4.000\n\n> Schmidtlein’s overall point was that Google helped Safari succeed not by forcing Apple’s hand, but by being a great product that integrated seamlessly with Apple’s own stuff. He referenced Apple’s deals with Yahoo and Bing that make those s\n\n**3. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 3.600\n\n> # Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\nEddy Cue, in a dark suit, peered down at the monitor in front of him. The screens in the Washington, DC, courtroom had briefly malfunctioned and left witnesses\n\n**4. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 3.000\n\n> Google’s software is constantly crawling the web and updating its central index, which itself is more than 100 million gigabytes in size. When you enter a query, Search uses a few quick processes to decide the meaning of your question, incl\n\n**5. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md** · score 3.000\n\n> Plus, it says Google’s Bard AI was trained on a dataset that included “news, magazine and digital publications,” citing both a 2023 report from the News Media Alliance and a Washington Post article about AI training data for reference. (The\n\n**6. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 1.500\n\n> # SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-\n\nCome Tuesday, our eyes will be trained on the Manhattan Federal Court for the trial of Sam Bankman-Fried, the disgraced cryptocurrency entrepreneur accused \n\n**7. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 0.750\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**8. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.500\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n
\n\n---\n📊 2.8s · 8 chunks · 2 LLM calls · 0 cloud", "answer": "The firmware version referenced in the widget bootloader error is v4.2.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 77.0 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 4.0 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 3.6 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 3.0 }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": 3.0 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 1.5 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 0.75 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.5 } ], "metrics": { "seconds": 2.8009705019999274, "chunks": 8, "llm_calls": 2, "cloud_calls": 0 }, "approach_metadata": { "lazy_graph": { "experimental": true, "cache_hit": true, "index_seconds": 0.004657, "graph_chunks": 30, "graph_concepts": 453, "graph_edges": 7523, "relevance_tests": 24, "relevance_budget": 24, "seed_k": 8, "max_context_chunks": 8, "llm_index_calls": 0, "cache_namespace": "RagBase_baseline_curated.concepts-24" } } }, { "query_id": "context_starved", "model": "vanilla-rag", "base_model": "vanilla-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 2.6, "raw": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset it by power-cycling for 30 seconds.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md**\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n**3. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> They named their company DeepMind, a nod to “deep learning,” a way for AI systems to learn skills by analysing large amounts of data; to neuroscience; and to the Deep Thought supercomputer from the sci-fi novel The Hitchhiker’s Guide to the\n\n**4. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> # How ego and fear fuelled the rise of artificial intelligence\n\nBut eight years later, the argument between the two men seems prescient. The question of whether AI will elevate the world or destroy it – or at least inflict grave damage – ha\n\n**5. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md**\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n
\n\n---\n📊 2.5s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset it by power-cycling for 30 seconds.", "sources": [ { "title": "subset/widget-error-codes.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": null } ], "metrics": { "seconds": 2.543182042999888, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "context_starved", "model": "hybrid-rag", "base_model": "hybrid-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 16.7, "raw": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset it by power-cycling for 30 seconds.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.431\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.004\n\n> They named their company DeepMind, a nod to “deep learning,” a way for AI systems to learn skills by analysing large amounts of data; to neuroscience; and to the Deep Thought supercomputer from the sci-fi novel The Hitchhiker’s Guide to the\n\n**3. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.004\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n**4. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.003\n\n> Bellshaw asked Cue a number of questions about the iPhone setup process. Those three screenshots showed the Appearance screen that shows up when you first boot up your iPhone so you can pick font sizes; the location-tracking prompt that app\n\n**5. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.003\n\n> Convinced that Page’s optimistic view of AI was dead wrong, and angry at his loss of DeepMind, Musk built his own lab. OpenAI was founded in late 2015, just a few months after he met with Altman at the Rosewood hotel in Silicon Valley. Sam \n\n
\n\n---\n📊 16.7s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset it by power-cycling for 30 seconds.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.4306332 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.0039717397 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.0036511368 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.0033933744 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.0032204906 } ], "metrics": { "seconds": 16.73611259099971, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "context_starved", "model": "contextual-rag", "base_model": "contextual-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 16.5, "raw": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset by power-cycling for 30s.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.481\n\n> This section lists specific error codes for the Acme Widget, detailing their causes and required resolution steps. It serves as a quick reference guide for troubleshooting common hardware and software issues.\n\n# Acme Widget Error Code Refer\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.005\n\n> This passage details how DeepMind founders Demis Hassabis and his colleagues leveraged their connection to AI safety advocate Eliezer Yudkowsky to secure crucial early funding from Peter Thiel, establishing the financial foundation for thei\n\n**3. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.004\n\n> This passage details DeepMind's early history, including its founding, initial funding from Peter Thiel and Elon Musk, and its breakthrough in neural network research that eventually attracted Google's attention. It also describes how Geoff\n\n**4. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 0.003\n\n> This section details the immediate aftermath of FTX's collapse, covering Sam Bankman-Fried's arrest and legal proceedings, the guilty pleas of key associates, and the broader impact on the crypto industry. It sets the stage for his ongoing \n\n**5. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 0.003\n\n> This passage details the pivotal 2015 ethics board meeting where Elon Musk lost influence over DeepMind after its acquisition by Google, highlighting the divergent views on AI safety between Musk and Google executives that ultimately led to\n\n
\n\n---\n📊 16.5s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset by power-cycling for 30s.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.48131865 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.005106849 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.0037077512 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 0.0032266593 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 0.0031518706 } ], "metrics": { "seconds": 16.49084859000004, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "context_starved", "model": "graph-rag", "base_model": "graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 10.2, "raw": "Based on the provided documentation, here is the information regarding the safety relay response to coil overheating and the resolution steps:\n\n**Safety Relay Action**\nWhen the widget's coil temperature exceeds **84°C**, a safety mechanism known as the **Thermal Cutoff** engages. This action causes the **safety relay** (specifically part number **RLY-22B**) to **open**. This event is indicated by the error code **WIDGET-ERR-7741** [[Reference Document 2]](atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt).\n\n**How to Clear It**\nTo resolve this error and reset the system, you must **power-cycle the widget for 30 seconds** [[Reference Document 2]](atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt).\n\n### References\n\n- [1] atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt\n- [2] atlas-4fa23f7af6d9f96ef1ee64d91598fca48974e6e3fb19f720dc048a4ef1aa89b0.txt\n\n
🔎 Retrieved context (1 source)\n\n**1. LightRAG knowledge graph**\n\n> Graph + vector dual retrieval (profile=graph-rag) over the corpus's extracted entities and relations.\n\n
\n\n---\n📊 10.2s · 0 chunks · 1 LLM call · 0 cloud", "answer": "Based on the provided documentation, here is the information regarding the safety relay response to coil overheating and the resolution steps:\n\n**Safety Relay Action**\nWhen the widget's coil temperature exceeds **84°C**, a safety mechanism known as the **Thermal Cutoff** engages. This action causes the **safety relay** (specifically part number **RLY-22B**) to **open**. This event is indicated by the error code **WIDGET-ERR-7741** [[Reference Document 2]](atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt).\n\n**How to Clear It**\nTo resolve this error and reset the system, you must **power-cycle the widget for 30 seconds** [[Reference Document 2]](atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt).\n\n### References\n\n- [1] atlas-69e2826640b7805a1849b1b05cf2874c65df2c3883721812a25cb0606c0dc4a7.txt\n- [2] atlas-4fa23f7af6d9f96ef1ee64d91598fca48974e6e3fb19f720dc048a4ef1aa89b0.txt", "sources": [ { "title": "LightRAG knowledge graph", "score": null } ], "metrics": { "seconds": 10.217472670000006, "chunks": 0, "llm_calls": 1, "cloud_calls": 0 }, "approach_metadata": { "lightrag": { "query_profile": "graph-rag" } } }, { "query_id": "context_starved", "model": "agentic-rag", "base_model": "agentic-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 13.2, "raw": "Based on the provided documentation, here is what happens when the coil overheats and how to clear it:\n\n### What the Safety Relay Does\nWhen the widget's coil exceeds **84°C**, a thermal cutoff engages. This causes the safety relay (part number **RLY-22B**) to **open** its circuit. This event is logged as error code **WIDGET-ERR-7741**.\n\n### How to Clear It\nTo clear this error and reset the system, you must **power-cycle the device for 30 seconds**.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(safety relay coil overheat protection action clear reset)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/033-News publisher files class action antitrust suit again\n\n**Step 2.** **Action:** `query_graph(safety relay thermal overload behavior and clearing procedure)`\n\n**Observation:** Based on the provided knowledge base, here is the information regarding the safety relay's thermal overload behavior and the clearing procedure for the associated error code.\n\n### Thermal Overload Behavior\n\nThe safety relay in this context is part of a widget system monitored by a **Thermal Cutoff**\n\n
\n\n---\n📊 13.2s · 0 chunks · 4 LLM calls · 0 cloud", "answer": "Based on the provided documentation, here is what happens when the coil overheats and how to clear it:\n\n### What the Safety Relay Does\nWhen the widget's coil exceeds **84°C**, a thermal cutoff engages. This causes the safety relay (part number **RLY-22B**) to **open** its circuit. This event is logged as error code **WIDGET-ERR-7741**.\n\n### How to Clear It\nTo clear this error and reset the system, you must **power-cycle the device for 30 seconds**.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 13.196771839000121, "chunks": 0, "llm_calls": 4, "cloud_calls": 0 } }, { "query_id": "context_starved", "model": "n8n-adaptive-rag", "base_model": "n8n-adaptive-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 0.7, "raw": "Based on the provided documentation, here is what happens when the coil overheats and how to clear it:\n\n### What the Safety Relay Does\nWhen the widget's coil exceeds **84°C**, a thermal cutoff engages. This causes the safety relay (part number **RLY-22B**) to **open** its circuit. This event is logged as error code **WIDGET-ERR-7741**.\n\n### How to Clear It\nTo clear this error and reset the system, you must **power-cycle the device for 30 seconds**.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(safety relay coil overheat protection action clear reset)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/033-News publisher files class action antitrust suit again\n\n**Step 2.** **Action:** `query_graph(safety relay thermal overload behavior and clearing procedure)`\n\n**Observation:** Based on the provided knowledge base, here is the information regarding the safety relay's thermal overload behavior and the clearing procedure for the associated error code.\n\n### Thermal Overload Behavior\n\nThe safety relay in this context is part of a widget system monitored by a **Thermal Cutoff**\n\n
\n\n---\n📊 0.7s · 0 chunks · 5 LLM calls · 0 cloud", "answer": "Based on the provided documentation, here is what happens when the coil overheats and how to clear it:\n\n### What the Safety Relay Does\nWhen the widget's coil exceeds **84°C**, a thermal cutoff engages. This causes the safety relay (part number **RLY-22B**) to **open** its circuit. This event is logged as error code **WIDGET-ERR-7741**.\n\n### How to Clear It\nTo clear this error and reset the system, you must **power-cycle the device for 30 seconds**.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 0.7220916670003135, "chunks": 0, "llm_calls": 5, "cloud_calls": 0 }, "approach_metadata": { "adaptive": { "route": "complex", "approach": "agentic-rag" } } }, { "query_id": "context_starved", "model": "lazy-graph-rag", "base_model": "lazy-graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 3.6, "raw": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset it by power-cycling for 30 seconds.\n\n
🔎 Retrieved context (8 sources)\n\n**1. subset/widget-error-codes.md** · score 75.000\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 4.750\n\n> They named their company DeepMind, a nod to “deep learning,” a way for AI systems to learn skills by analysing large amounts of data; to neuroscience; and to the Deep Thought supercomputer from the sci-fi novel The Hitchhiker’s Guide to the\n\n**3. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 4.600\n\n> For the US, which has to prove that Google somehow broke the law to achieve the status quo, this legal case could be an uphill battle. But for the rest of us, it offers a rare opportunity for some insight into what the tech giant does with \n\n**4. subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md** · score 4.500\n\n> # SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-\n\nCome Tuesday, our eyes will be trained on the Manhattan Federal Court for the trial of Sam Bankman-Fried, the disgraced cryptocurrency entrepreneur accused \n\n**5. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 4.429\n\n> # Is Google Search better than the rest? And is that fair?\n\nThe process of this test did remind me how much data Google collects — not just my searches but anything I say to a smart speaker, any search result or ad that I click — which will\n\n**6. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 4.000\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**7. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 4.000\n\n> Bankman-Fried, however, maintained his innocence. At The New York Times’ DealBook Summit, he appeared virtually from the Bahamas, saying “I didn’t ever try to commit fraud on anyone; I was shocked by what happened this month.” In a publishe\n\n**8. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 4.000\n\n> # SBF’s trial starts soon, but how did he — and FTX — get here?\n\nSBF’s trial has started, this is how he and FTX got here\n\nThe highly anticipated criminal trial for Sam Bankman-Fried, former CEO of bankrupt crypto exchange FTX, started Tues\n\n
\n\n---\n📊 3.6s · 8 chunks · 2 LLM calls · 0 cloud", "answer": "When the coil exceeds 84°C, the safety relay (part RLY-22B) opens. To clear this error, you must reset it by power-cycling for 30 seconds.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 75.0 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 4.75 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 4.6 }, { "title": "subset/030-SBF, riding high on FTX, reportedly offered $5B to Trump to cancel President re-.md", "score": 4.5 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 4.428571428571429 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 4.0 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 4.0 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 4.0 } ], "metrics": { "seconds": 3.5737889600000017, "chunks": 8, "llm_calls": 2, "cloud_calls": 0 }, "approach_metadata": { "lazy_graph": { "experimental": true, "cache_hit": true, "index_seconds": 0.00435, "graph_chunks": 30, "graph_concepts": 453, "graph_edges": 7523, "relevance_tests": 24, "relevance_budget": 24, "seed_k": 8, "max_context_chunks": 8, "llm_index_calls": 0, "cache_namespace": "RagBase_baseline_curated.concepts-24" } } }, { "query_id": "mixed_batch", "model": "vanilla-rag", "base_model": "vanilla-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 4.6, "raw": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance. Run `acmectl recal`.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThese error codes do not relate to each other across the provided documents. The widget error codes appear exclusively in document [1], which is a technical reference for \"Acme Widget\" hardware issues. Documents [2], [3], [4], and [5] discuss unrelated topics such as the US v Google antitrust trial, news publisher lawsuits against Google, and the history of artificial intelligence development. There is no information in the context linking the widget errors to any other content in the provided texts.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md**\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md**\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**3. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md**\n\n> # News publisher files class action antitrust suit against Google, citing AI’s har\n\nA new class action lawsuit filed this week in the U.S. District Court in D.C. accuses Google and parent company Alphabet of anticompetitive behavior in viol\n\n**4. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md**\n\n> Plus, it says Google’s Bard AI was trained on a dataset that included “news, magazine and digital publications,” citing both a 2023 report from the News Media Alliance and a Washington Post article about AI training data for reference. (The\n\n**5. subset/027-How ego and fear fuelled the rise of artificial intelligence.md**\n\n> In 2010, Hassabis and two colleagues, who all lived in Britain, were looking for money to start building “artificial general intelligence,” or AGI, a machine that could do anything the brain could do. At the time, few people were interested\n\n
\n\n---\n📊 4.6s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance. Run `acmectl recal`.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThese error codes do not relate to each other across the provided documents. The widget error codes appear exclusively in document [1], which is a technical reference for \"Acme Widget\" hardware issues. Documents [2], [3], [4], and [5] discuss unrelated topics such as the US v Google antitrust trial, news publisher lawsuits against Google, and the history of artificial intelligence development. There is no information in the context linking the widget errors to any other content in the provided texts.", "sources": [ { "title": "subset/widget-error-codes.md", "score": null }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": null }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": null }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": null }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": null } ], "metrics": { "seconds": 4.625142586000038, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "mixed_batch", "model": "hybrid-rag", "base_model": "hybrid-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 18.9, "raw": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance. Run `acmectl recal`.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThese error codes do not relate to each other across the provided documents. The codes appear exclusively in document [1], which is a technical reference for \"Acme Widget\" errors. The remaining documents ([2], [3], [4], and [5]) discuss legal proceedings involving Google, Apple, and news publishers, containing no information about widgets or these specific error codes. Therefore, there is no cross-document relationship to explain.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.418\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.003\n\n> Bellshaw asked Cue a number of questions about the iPhone setup process. Those three screenshots showed the Appearance screen that shows up when you first boot up your iPhone so you can pick font sizes; the location-tracking prompt that app\n\n**3. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 0.003\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**4. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md** · score 0.002\n\n> # News publisher files class action antitrust suit against Google, citing AI’s har\n\nA new class action lawsuit filed this week in the U.S. District Court in D.C. accuses Google and parent company Alphabet of anticompetitive behavior in viol\n\n**5. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.002\n\n> # Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\nEddy Cue, in a dark suit, peered down at the monitor in front of him. The screens in the Washington, DC, courtroom had briefly malfunctioned and left witnesses\n\n
\n\n---\n📊 18.9s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance. Run `acmectl recal`.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThese error codes do not relate to each other across the provided documents. The codes appear exclusively in document [1], which is a technical reference for \"Acme Widget\" errors. The remaining documents ([2], [3], [4], and [5]) discuss legal proceedings involving Google, Apple, and news publishers, containing no information about widgets or these specific error codes. Therefore, there is no cross-document relationship to explain.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.41802874 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.0030782074 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 0.0029972757 }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": 0.0024589077 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.0023910915 } ], "metrics": { "seconds": 18.901267383999766, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "mixed_batch", "model": "contextual-rag", "base_model": "contextual-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 17.9, "raw": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThe provided context is insufficient to explain how these error codes relate to each other across the documents, as the other documents discuss Google Search, antitrust lawsuits, and Apple's partnership with Google, with no mention of the Acme Widget or its error codes.\n\n
🔎 Retrieved context (5 sources)\n\n**1. subset/widget-error-codes.md** · score 0.654\n\n> This section lists specific error codes for the Acme Widget, detailing their causes and required resolution steps. It serves as a quick reference guide for troubleshooting common hardware and software issues.\n\n# Acme Widget Error Code Refer\n\n**2. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 0.006\n\n> The document addresses criticisms that Google manipulates search results for ad revenue, presenting Google's official explanation of its ranking algorithms and quality assurance processes as a counterargument. This specific chunk details ho\n\n**3. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md** · score 0.004\n\n> This section details the specific allegations in the class action lawsuit filed by Helena World Chronicle against Google, focusing on how AI technologies like SGE and Bard, along with older features like the Knowledge Graph, allegedly sipho\n\n**4. subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md** · score 0.004\n\n> This chunk details Apple executive Eddy Cue's testimony regarding the iPhone setup process and his defense of Google as the default search engine, addressing DOJ concerns about user choice and privacy. It highlights the tension between Appl\n\n**5. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 0.003\n\n> This section addresses allegations that Google manipulates search results for ad revenue and explains why search quality may have declined due to the exponential growth of indexed data rather than monetization tactics. It contrasts these cr\n\n
\n\n---\n📊 17.9s · 5 chunks · 2 LLM calls · 0 cloud", "answer": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThe provided context is insufficient to explain how these error codes relate to each other across the documents, as the other documents discuss Google Search, antitrust lawsuits, and Apple's partnership with Google, with no mention of the Acme Widget or its error codes.", "sources": [ { "title": "subset/widget-error-codes.md", "score": 0.65426034 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 0.005802964 }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": 0.0035656607 }, { "title": "subset/014-Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’.md", "score": 0.0035418759 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 0.0033174735 } ], "metrics": { "seconds": 17.851996633, "chunks": 5, "llm_calls": 2, "cloud_calls": 0 } }, { "query_id": "mixed_batch", "model": "graph-rag", "base_model": "graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 15.7, "raw": "Based on the provided documentation, here are the specific widget error codes and an analysis of their relationships:\n\n### Widget Error Codes\n\nThe following error codes are identified in the **Acme Widget Error Code Reference** and related knowledge graph data:\n\n* **WIDGET-ERR-7741**: Indicates that a thermal cutoff has been engaged because the widget's coil exceeded 84°C, causing the safety relay to open.\n* **WIDGET-ERR-3390**: Indicates that calibration drift has exceeded tolerance levels.\n* **WIDGET-ERR-1188**: Indicates a firmware signature mismatch occurred during the bootloader process.\n\n### Relationships and Interconnections\n\nWhile these three error codes represent distinct failure modes (thermal, calibration, and software integrity), they are interconnected through the specific hardware components, physical processes, and maintenance procedures described in the context.\n\n**1. Hardware Components Involved**\nThe errors are linked by the specific physical parts of the widget:\n* **WIDGET-ERR-7741** is directly associated with the safety relay, identified by part number **RLY-22B**. This relay opens physically when the thermal cutoff engages due to excessive heat.\n* **WIDGET-ERR-1188** is associated with **Bootloader v4.2**, a software component responsible for loading firmware during the boot process. The error signifies a discrepancy between expected and actual firmware signatures, which may indicate tampering or corruption.\n\n**2. Causal and Procedural Links via Maintenance Actions**\nThe relationship between the errors is largely defined by how they are addressed or prevented through specific maintenance commands and environmental factors:\n\n* **Calibration vs. Thermal Limits**:\n * **WIDGET-ERR-3390** (Calibration Drift) is resolved by running the command `acmectl recal`. This command is explicitly described as a method to recalibrate the widget.\n * While not explicitly stated that calibration fixes thermal issues, both errors relate to the physical integrity and operational safety of the device. **WIDGET-ERR-7741** requires a power-cycle reset for 30 seconds to engage the safety relay again.\n\n* **Bootloader and Firmware Integrity**:\n * **WIDGET-ERR-1188** occurs specifically during the **bootloader process version 4.2**. The relationship here is temporal and procedural: this error halts or flags issues before the widget is fully operational, whereas the calibration and thermal errors suggest active operational failures.\n\n**3. Summary of Interdependence**\n* **WIDGET-ERR-7741** highlights a hardware safety limit (84°C) and the mechanical response of the **RLY-22B** relay.\n* **WIDGET-ERR-3390** highlights a precision failure requiring software intervention (`acmectl recal`) to correct sensor or functional drift.\n* **WIDGET-ERR-1188** highlights a foundational software integrity issue tied to **Bootloader v4.2**, preventing proper startup due to signature mismatches.\n\nIn essence, the errors cover different layers of widget operation: **WIDGET-ERR-1188** prevents startup (bootloader level), **WIDGET-ERR-3390** affects accuracy during operation (calibration level), and **WIDGET-ERR-7741** represents a critical safety shutdown due to physical overheating (hardware level). The provided context does not suggest one error directly causes another, but rather that they are distinct failure states managed by different interventions (software recalculation, power cycling, or bootloader verification).\n\n### References\n\n- [1] How ego and fear fuelled the rise of artificial intelligence\n- [2] Acme Widget Error Code Reference\n- [3] Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’\n\n
🔎 Retrieved context (1 source)\n\n**1. LightRAG knowledge graph**\n\n> Graph + vector dual retrieval (profile=graph-rag) over the corpus's extracted entities and relations.\n\n
\n\n---\n📊 15.7s · 0 chunks · 1 LLM call · 0 cloud", "answer": "Based on the provided documentation, here are the specific widget error codes and an analysis of their relationships:\n\n### Widget Error Codes\n\nThe following error codes are identified in the **Acme Widget Error Code Reference** and related knowledge graph data:\n\n* **WIDGET-ERR-7741**: Indicates that a thermal cutoff has been engaged because the widget's coil exceeded 84°C, causing the safety relay to open.\n* **WIDGET-ERR-3390**: Indicates that calibration drift has exceeded tolerance levels.\n* **WIDGET-ERR-1188**: Indicates a firmware signature mismatch occurred during the bootloader process.\n\n### Relationships and Interconnections\n\nWhile these three error codes represent distinct failure modes (thermal, calibration, and software integrity), they are interconnected through the specific hardware components, physical processes, and maintenance procedures described in the context.\n\n**1. Hardware Components Involved**\nThe errors are linked by the specific physical parts of the widget:\n* **WIDGET-ERR-7741** is directly associated with the safety relay, identified by part number **RLY-22B**. This relay opens physically when the thermal cutoff engages due to excessive heat.\n* **WIDGET-ERR-1188** is associated with **Bootloader v4.2**, a software component responsible for loading firmware during the boot process. The error signifies a discrepancy between expected and actual firmware signatures, which may indicate tampering or corruption.\n\n**2. Causal and Procedural Links via Maintenance Actions**\nThe relationship between the errors is largely defined by how they are addressed or prevented through specific maintenance commands and environmental factors:\n\n* **Calibration vs. Thermal Limits**:\n * **WIDGET-ERR-3390** (Calibration Drift) is resolved by running the command `acmectl recal`. This command is explicitly described as a method to recalibrate the widget.\n * While not explicitly stated that calibration fixes thermal issues, both errors relate to the physical integrity and operational safety of the device. **WIDGET-ERR-7741** requires a power-cycle reset for 30 seconds to engage the safety relay again.\n\n* **Bootloader and Firmware Integrity**:\n * **WIDGET-ERR-1188** occurs specifically during the **bootloader process version 4.2**. The relationship here is temporal and procedural: this error halts or flags issues before the widget is fully operational, whereas the calibration and thermal errors suggest active operational failures.\n\n**3. Summary of Interdependence**\n* **WIDGET-ERR-7741** highlights a hardware safety limit (84°C) and the mechanical response of the **RLY-22B** relay.\n* **WIDGET-ERR-3390** highlights a precision failure requiring software intervention (`acmectl recal`) to correct sensor or functional drift.\n* **WIDGET-ERR-1188** highlights a foundational software integrity issue tied to **Bootloader v4.2**, preventing proper startup due to signature mismatches.\n\nIn essence, the errors cover different layers of widget operation: **WIDGET-ERR-1188** prevents startup (bootloader level), **WIDGET-ERR-3390** affects accuracy during operation (calibration level), and **WIDGET-ERR-7741** represents a critical safety shutdown due to physical overheating (hardware level). The provided context does not suggest one error directly causes another, but rather that they are distinct failure states managed by different interventions (software recalculation, power cycling, or bootloader verification).\n\n### References\n\n- [1] How ego and fear fuelled the rise of artificial intelligence\n- [2] Acme Widget Error Code Reference\n- [3] Apple defends Google Search deal in court: ‘There wasn’t a valid alternative’", "sources": [ { "title": "LightRAG knowledge graph", "score": null } ], "metrics": { "seconds": 15.73031092400015, "chunks": 0, "llm_calls": 1, "cloud_calls": 0 }, "approach_metadata": { "lightrag": { "query_profile": "graph-rag" } } }, { "query_id": "mixed_batch", "model": "agentic-rag", "base_model": "agentic-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 33.7, "raw": "Based on the **Acme Widget Error Code Reference**, here are the widget error codes and an explanation of how they relate to each other.\n\n### Widget Error Codes\n\n1. **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n * **Resolution**: Reset by power-cycling for 30 seconds.\n2. **WIDGET-ERR-1188**: Firmware signature mismatch during the bootloader process (specifically with Bootloader v4.2).\n3. **WIDGET-ERR-3390**: Calibration drift exceeding allowable tolerance levels.\n * **Resolution**: Run the command `acmectl recal`.\n\n### How They Relate to Each Other\n\nThese error codes relate to each other as distinct failure modes within the same system, categorized by the layer of the widget they affect:\n\n* **Hardware vs. Software/Operational Layers**:\n * **WIDGET-ERR-7741** is a **hardware safety** event triggered by physical conditions (overheating). It involves specific physical components like the coil and the RLY-22B safety relay.\n * **WIDGET-ERR-1188** is a **software integrity** event related to the boot process and firmware verification.\n * **WIDGET-ERR-3390** is an **operational/performance** event related to measurement accuracy, resolved via software commands (`acmectl recal`).\n\n* **Independence of Faults**:\n The documentation indicates that these errors are independent fault conditions. There is no stated causal relationship where one error triggers another (e.g., overheating does not cause firmware mismatch). Instead, they represent separate potential points of failure across the widget's thermal, software, and calibration subsystems.\n\n* **Resolution Strategies**:\n The methods to resolve them highlight their different natures:\n * **WIDGET-ERR-7741** requires a physical reset (power-cycling).\n * **WIDGET-ERR-3390** requires a software recalibration command.\n * **WIDGET-ERR-1188** implies a need for firmware verification or replacement, as it involves signature mismatches during boot.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(widget error codes list)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/015-More from the US v Google trial: vertical search, pre-\n\n**Step 2.** **Action:** `query_graph(what are the widget error codes and how do they relate to each other?)`\n\n**Observation:** Based on the provided **Acme Widget Error Code Reference** and associated knowledge graph data, there are three specific error codes for the widget. They relate to distinct physical or software subsystems within the device: hardware safety mechanisms (thermal), software integrity (firmware), and ope\n\n**Step 3.** **Action:** `search_vectors(widget error codes WIDGET-ERR)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/027-How ego and fear fuelled the rise of artificial intell\n\n**Step 4.** **Action:** `query_graph(What are all the widget error codes and how do they relate to each other?)`\n\n**Observation:** Based on the provided **Acme Widget Error Code Reference**, there are three distinct error codes. They do not directly relate to one another through cause-and-effect relationships but are grouped within the same reference document, each indicating a different type of failure mode within the widget s\n\n
\n\n---\n📊 33.6s · 0 chunks · 8 LLM calls · 0 cloud", "answer": "Based on the **Acme Widget Error Code Reference**, here are the widget error codes and an explanation of how they relate to each other.\n\n### Widget Error Codes\n\n1. **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n * **Resolution**: Reset by power-cycling for 30 seconds.\n2. **WIDGET-ERR-1188**: Firmware signature mismatch during the bootloader process (specifically with Bootloader v4.2).\n3. **WIDGET-ERR-3390**: Calibration drift exceeding allowable tolerance levels.\n * **Resolution**: Run the command `acmectl recal`.\n\n### How They Relate to Each Other\n\nThese error codes relate to each other as distinct failure modes within the same system, categorized by the layer of the widget they affect:\n\n* **Hardware vs. Software/Operational Layers**:\n * **WIDGET-ERR-7741** is a **hardware safety** event triggered by physical conditions (overheating). It involves specific physical components like the coil and the RLY-22B safety relay.\n * **WIDGET-ERR-1188** is a **software integrity** event related to the boot process and firmware verification.\n * **WIDGET-ERR-3390** is an **operational/performance** event related to measurement accuracy, resolved via software commands (`acmectl recal`).\n\n* **Independence of Faults**:\n The documentation indicates that these errors are independent fault conditions. There is no stated causal relationship where one error triggers another (e.g., overheating does not cause firmware mismatch). Instead, they represent separate potential points of failure across the widget's thermal, software, and calibration subsystems.\n\n* **Resolution Strategies**:\n The methods to resolve them highlight their different natures:\n * **WIDGET-ERR-7741** requires a physical reset (power-cycling).\n * **WIDGET-ERR-3390** requires a software recalibration command.\n * **WIDGET-ERR-1188** implies a need for firmware verification or replacement, as it involves signature mismatches during boot.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 33.64614693199974, "chunks": 0, "llm_calls": 8, "cloud_calls": 0 } }, { "query_id": "mixed_batch", "model": "n8n-adaptive-rag", "base_model": "n8n-adaptive-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 12.9, "raw": "Based on the **Acme Widget Error Code Reference**, here are the widget error codes and an explanation of how they relate to each other.\n\n### Widget Error Codes\n\n1. **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n * **Resolution**: Reset by power-cycling for 30 seconds.\n2. **WIDGET-ERR-1188**: Firmware signature mismatch during the bootloader process (specifically with Bootloader v4.2).\n3. **WIDGET-ERR-3390**: Calibration drift exceeding allowable tolerance levels.\n * **Resolution**: Run the command `acmectl recal`.\n\n### How They Relate to Each Other\n\nThese error codes relate to each other as distinct failure modes within the same system, categorized by the layer of the widget they affect:\n\n* **Hardware vs. Software/Operational Layers**:\n * **WIDGET-ERR-7741** is a **hardware safety** event triggered by physical conditions (overheating). It involves specific physical components like the coil and the RLY-22B safety relay.\n * **WIDGET-ERR-1188** is a **software integrity** event related to the boot process and firmware verification.\n * **WIDGET-ERR-3390** is an **operational/performance** event related to measurement accuracy, resolved via software commands (`acmectl recal`).\n\n* **Independence of Faults**:\n The documentation indicates that these errors are independent fault conditions. There is no stated causal relationship where one error triggers another (e.g., overheating does not cause firmware mismatch). Instead, they represent separate potential points of failure across the widget's thermal, software, and calibration subsystems.\n\n* **Resolution Strategies**:\n The methods to resolve them highlight their different natures:\n * **WIDGET-ERR-7741** requires a physical reset (power-cycling).\n * **WIDGET-ERR-3390** requires a software recalibration command.\n * **WIDGET-ERR-1188** implies a need for firmware verification or replacement, as it involves signature mismatches during boot.\n\n
🔎 Retrieved context (1 source)\n\n**1. 🤖 Agent trace**\n\n> **Step 1.** **Action:** `search_vectors(widget error codes list)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/015-More from the US v Google trial: vertical search, pre-\n\n**Step 2.** **Action:** `query_graph(what are the widget error codes and how do they relate to each other?)`\n\n**Observation:** Based on the provided **Acme Widget Error Code Reference** and associated knowledge graph data, there are three specific error codes for the widget. They relate to distinct physical or software subsystems within the device: hardware safety mechanisms (thermal), software integrity (firmware), and ope\n\n**Step 3.** **Action:** `search_vectors(widget error codes WIDGET-ERR)`\n\n**Observation:** - subset/widget-error-codes.md: # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WID\n- subset/027-How ego and fear fuelled the rise of artificial intell\n\n**Step 4.** **Action:** `query_graph(What are all the widget error codes and how do they relate to each other?)`\n\n**Observation:** Based on the provided **Acme Widget Error Code Reference**, there are three distinct error codes. They do not directly relate to one another through cause-and-effect relationships but are grouped within the same reference document, each indicating a different type of failure mode within the widget s\n\n
\n\n---\n📊 12.9s · 0 chunks · 9 LLM calls · 0 cloud", "answer": "Based on the **Acme Widget Error Code Reference**, here are the widget error codes and an explanation of how they relate to each other.\n\n### Widget Error Codes\n\n1. **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C, causing the safety relay (part RLY-22B) to open.\n * **Resolution**: Reset by power-cycling for 30 seconds.\n2. **WIDGET-ERR-1188**: Firmware signature mismatch during the bootloader process (specifically with Bootloader v4.2).\n3. **WIDGET-ERR-3390**: Calibration drift exceeding allowable tolerance levels.\n * **Resolution**: Run the command `acmectl recal`.\n\n### How They Relate to Each Other\n\nThese error codes relate to each other as distinct failure modes within the same system, categorized by the layer of the widget they affect:\n\n* **Hardware vs. Software/Operational Layers**:\n * **WIDGET-ERR-7741** is a **hardware safety** event triggered by physical conditions (overheating). It involves specific physical components like the coil and the RLY-22B safety relay.\n * **WIDGET-ERR-1188** is a **software integrity** event related to the boot process and firmware verification.\n * **WIDGET-ERR-3390** is an **operational/performance** event related to measurement accuracy, resolved via software commands (`acmectl recal`).\n\n* **Independence of Faults**:\n The documentation indicates that these errors are independent fault conditions. There is no stated causal relationship where one error triggers another (e.g., overheating does not cause firmware mismatch). Instead, they represent separate potential points of failure across the widget's thermal, software, and calibration subsystems.\n\n* **Resolution Strategies**:\n The methods to resolve them highlight their different natures:\n * **WIDGET-ERR-7741** requires a physical reset (power-cycling).\n * **WIDGET-ERR-3390** requires a software recalibration command.\n * **WIDGET-ERR-1188** implies a need for firmware verification or replacement, as it involves signature mismatches during boot.", "sources": [ { "title": "🤖 Agent trace", "score": null } ], "metrics": { "seconds": 12.904911214000094, "chunks": 0, "llm_calls": 9, "cloud_calls": 0 }, "approach_metadata": { "adaptive": { "route": "complex", "approach": "agentic-rag" } } }, { "query_id": "mixed_batch", "model": "lazy-graph-rag", "base_model": "lazy-graph-rag", "flavor": "default", "requires_reingest": false, "ok": true, "latency_s": 6.0, "raw": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance. Run `acmectl recal`.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThese error codes do not relate to each other across the provided documents. The context is insufficient to establish any relationship because the widget error codes appear only in document [1], while the remaining documents ([2] through [8]) discuss unrelated topics such as the US v Google antitrust trial, the rise of artificial intelligence and OpenAI, news publisher lawsuits against Google, and the SBF/FTX trial. There is no mention of widgets or widget errors in any document other than [1].\n\n
🔎 Retrieved context (8 sources)\n\n**1. subset/widget-error-codes.md** · score 68.000\n\n> # Acme Widget Error Code Reference\n\n- **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C\n and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n- **WIDGET-ERR-3390**: Calibration drift beyond\n\n**2. subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md** · score 9.500\n\n> # More from the US v Google trial: vertical search, pre-installs and the case of F\n\nMore from the US v Google trial: Vertical search, pre-installs and the case of Firefox/Yahoo\n\nWe’re nearly two months into the Justice Department’s landmark\n\n**3. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 8.000\n\n> Convinced that Page’s optimistic view of AI was dead wrong, and angry at his loss of DeepMind, Musk built his own lab. OpenAI was founded in late 2015, just a few months after he met with Altman at the Rosewood hotel in Silicon Valley. Sam \n\n**4. subset/032-Is Google Search better than the rest? And is that fair?.md** · score 8.000\n\n> # Is Google Search better than the rest? And is that fair?\n\nThe process of this test did remind me how much data Google collects — not just my searches but anything I say to a smart speaker, any search result or ad that I click — which will\n\n**5. subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md** · score 7.750\n\n> Plus, it says Google’s Bard AI was trained on a dataset that included “news, magazine and digital publications,” citing both a 2023 report from the News Media Alliance and a Washington Post article about AI training data for reference. (The\n\n**6. subset/027-How ego and fear fuelled the rise of artificial intelligence.md** · score 4.429\n\n> # How ego and fear fuelled the rise of artificial intelligence\n\nBut eight years later, the argument between the two men seems prescient. The question of whether AI will elevate the world or destroy it – or at least inflict grave damage – ha\n\n**7. subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md** · score 4.000\n\n> # SBF Trial: The latest updates from the FTX collapse’s courtroom drama\n\nSBF trial: Everything to know from the FTX courtroom ahead of his testimony Sam Bankman-Fried is in court for alleged fraud and money laundering while leading crypto e\n\n**8. subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md** · score 4.000\n\n> Bankman-Fried, however, maintained his innocence. At The New York Times’ DealBook Summit, he appeared virtually from the Bahamas, saying “I didn’t ever try to commit fraud on anyone; I was shocked by what happened this month.” In a publishe\n\n
\n\n---\n📊 5.9s · 8 chunks · 2 LLM calls · 0 cloud", "answer": "The widget error codes listed in the context are:\n* **WIDGET-ERR-7741**: Thermal cutoff engaged. The widget's coil exceeded 84°C and the safety relay (part RLY-22B) opened. Reset by power-cycling for 30s.\n* **WIDGET-ERR-3390**: Calibration drift beyond tolerance. Run `acmectl recal`.\n* **WIDGET-ERR-1188**: Firmware signature mismatch on bootloader v4.2.\n\nThese error codes do not relate to each other across the provided documents. The context is insufficient to establish any relationship because the widget error codes appear only in document [1], while the remaining documents ([2] through [8]) discuss unrelated topics such as the US v Google antitrust trial, the rise of artificial intelligence and OpenAI, news publisher lawsuits against Google, and the SBF/FTX trial. There is no mention of widgets or widget errors in any document other than [1].", "sources": [ { "title": "subset/widget-error-codes.md", "score": 68.0 }, { "title": "subset/015-More from the US v Google trial: vertical search, pre-installs and the case of F.md", "score": 9.5 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 8.0 }, { "title": "subset/032-Is Google Search better than the rest? And is that fair?.md", "score": 8.0 }, { "title": "subset/033-News publisher files class action antitrust suit against Google, citing AI’s har.md", "score": 7.75 }, { "title": "subset/027-How ego and fear fuelled the rise of artificial intelligence.md", "score": 4.428571428571429 }, { "title": "subset/009-SBF Trial: The latest updates from the FTX collapse’s courtroom drama.md", "score": 4.0 }, { "title": "subset/010-SBF’s trial starts soon, but how did he — and FTX — get here?.md", "score": 4.0 } ], "metrics": { "seconds": 5.949827920000189, "chunks": 8, "llm_calls": 2, "cloud_calls": 0 }, "approach_metadata": { "lazy_graph": { "experimental": true, "cache_hit": true, "index_seconds": 0.004876, "graph_chunks": 30, "graph_concepts": 453, "graph_edges": 7523, "relevance_tests": 24, "relevance_budget": 24, "seed_k": 8, "max_context_chunks": 8, "llm_index_calls": 0, "cache_namespace": "RagBase_baseline_curated.concepts-24" } } } ], "ingestion": { "id": "349fa267-c4d3-4fae-b130-84a0ea92407f", "job_id": "349fa267-c4d3-4fae-b130-84a0ea92407f", "profile": "baseline_curated", "revision": "64ce0e99ef6a24b1", "content_digest": "c15c97b98c81115f", "mode": "atlas-job" }, "runtime": { "project": "rag-showcase", "base_port": 64500, "provider_sources": { "llm": "ollama-localhost", "comfyui": "disabled" }, "rag_showcase": { "commit": "5acdcd336b4f3fb18d1ab6e436e59e4751a55274", "dirty": true, "tree": "2b7f44d6cce05e258d6e7b576e03bb4689a2af9d", "patch_sha256": "99f76ed56aeb7125223815bd8a7521103cc58a7d7f90214634602e2f55e3ce27", "patch_capture": "retrospective-known-scope", "patch_basis": "sha256 of canonical known-dirty-scope manifest", "known_dirty_scope": [ "README.md", "compare/", "docs/", "infra (submodule pointer)", "scripts/", "tests/" ] }, "atlas": { "commit": "2229fee928a5553f63d875f50b16e07b85352569", "dirty": false, "tree": "98f83fdd1c83ddf09e3415b948c7dbb86c9f4905", "patch_sha256": "3609b28c0c5a318c567b989afb4c72264a6af9d9a8e22b77182cc01eca02e661", "patch_capture": "exact" }, "judge_panel": { "endpoint": "http://localhost:11434/v1/chat/completions", "models": [ "qwen3.6:latest", "gemma4:31b" ], "thinking": false }, "runtime_files": { "model_inventory": { "path": "infra/volumes/litellm/consumer-models.yaml", "sha256": "da5024f2b962dc9d1e99e5cb29c47d7e393682568cc99fa9ac1c62ba0a18264e", "entries": [ "agentic-rag", "agentic-rag-deeper", "contextual-rag", "contextual-rag-high-recall", "graph-rag", "graph-rag-fast", "graph-rag-rerank", "graph-rag-wide", "hybrid-rag", "hybrid-rag-fast", "hybrid-rag-high-recall", "lazy-graph-rag", "lazy-graph-rag-balanced", "lazy-graph-rag-fast", "lazy-graph-rag-wide", "n8n-adaptive-rag", "n8n-adaptive-rag-default", "vanilla-rag", "vanilla-rag-wide" ] }, "lightrag_query_profiles": { "path": "infra/volumes/backend/lightrag-query-profiles.json", "sha256": "eab5a36f8666a58abe56f94426c43165e2b203f4ab042f4d82f529befb3921a4", "entries": [ "graph-rag", "graph-rag-fast", "graph-rag-rerank", "graph-rag-wide" ] } } } }