rootandClaude Opus 4.6
3f19ad5d93
- process_knowledge.py: routes PDF content through devop.live /api/run - Uses extract mode: LLM extracts facts/entities/relationships, verifier checks - 543 extractions (279 facts, 264 entities) from 8 conversations - 60 verified entries from gemma2 cross-checking - All stored as queryable Parquet (processed_extractions, processed_validated) - Streaming SSE parsing for LLM Team responses - This proves the architecture: Lakehouse storage + devop.live processing Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
58 lines
1.3 KiB
JSON
58 lines
1.3 KiB
JSON
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"name": "processed_extractions",
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"objects": [
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"bucket": "data",
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"key": "datasets/processed_extractions.parquet",
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"size_bytes": 28175,
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"created_at": "2026-03-28T05:16:57.437041979Z"
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