- 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>
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