rootandClaude Opus 4.6
bf033b2d9d
- extract_knowledge.py: LLM processes sampled pages from all conversations - Extracts structured JSON: topics, decisions, insights, open questions - Stores as queryable Parquet tables (knowledge_topics, knowledge_decisions, knowledge_insights, knowledge_questions) - Each finding traces to source conversation + page number - Fixed Unicode chunker crash (byte boundary on multi-byte chars) - Tested on 8 real ChatGPT PDFs, 477 pages: 496 topics, 300 decisions, 100 insights, 200 open questions extracted Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
51 lines
1.2 KiB
JSON
51 lines
1.2 KiB
JSON
{
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"id": "799c825c-950e-480e-a38e-4407377e43e3",
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"name": "knowledge_topics",
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"schema_fingerprint": "356c37c8fef56ce7f7882c80f1301cc2f70bcbf874719cb0628b42179874494c",
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"objects": [
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{
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"bucket": "data",
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"key": "datasets/knowledge_topics.parquet",
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"size_bytes": 14252,
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"created_at": "2026-03-28T04:06:05.358571822Z"
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}
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],
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"created_at": "2026-03-28T04:06:05.358572461Z",
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"updated_at": "2026-03-28T04:06:05.358833280Z",
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"description": "",
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"owner": "",
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"sensitivity": null,
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"columns": [
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{
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"name": "conversation",
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"data_type": "Utf8",
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"sensitivity": null,
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"description": "",
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"is_pii": false
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},
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{
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"name": "page",
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"data_type": "Int64",
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"sensitivity": null,
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"description": "",
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"is_pii": false
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},
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{
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"name": "topic",
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"data_type": "Utf8",
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"sensitivity": null,
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"description": "",
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"is_pii": false
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}
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],
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"lineage": {
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"source_system": "csv",
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"source_file": "knowledge_topics.csv",
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"ingest_job": "ingest-1774670765358",
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"ingest_timestamp": "2026-03-28T04:06:05.358571822Z",
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"parent_datasets": []
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},
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"freshness": null,
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"tags": [],
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"row_count": 496
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} |