rootandClaude Opus 4.6 3f19ad5d93 LLM Team integration: extract mode processes 8 conversations ...

- 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>

2026-03-28 00:22:29 -05:00

..

call_log.parquet

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

candidates.parquet

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

clients.parquet

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

code_sorting_assistance.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

crm_development_options.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

email_log.parquet

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

hybrid_ai_data_lake.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

hybrid_indexing_setup.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

job_orders.parquet

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

knowledge_decisions.parquet

Metacognitive knowledge extraction: 496 topics, 300 decisions, 100 insights

2026-03-27 23:06:36 -05:00

knowledge_insights.parquet

Metacognitive knowledge extraction: 496 topics, 300 decisions, 100 insights

2026-03-27 23:06:36 -05:00

knowledge_questions.parquet

Metacognitive knowledge extraction: 496 topics, 300 decisions, 100 insights

2026-03-27 23:06:36 -05:00

knowledge_topics.parquet

Metacognitive knowledge extraction: 496 topics, 300 decisions, 100 insights

2026-03-27 23:06:36 -05:00

lab_trials.parquet

Database connector: PostgreSQL → Parquet import

2026-03-27 20:14:16 -05:00

legacy_staffing_crm_search.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

llms3_update_prompt.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

meta_runs.parquet

Robust SQL extraction: handles explanations, markdown, prefixes

2026-03-27 20:42:11 -05:00

new_candidates.parquet

Scheduled ingest: file watcher auto-ingests from ./inbox

2026-03-27 20:04:40 -05:00

placements.parquet

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

processed_extractions.parquet

LLM Team integration: extract mode processes 8 conversations

2026-03-28 00:22:29 -05:00

processed_validated.parquet

LLM Team integration: extract mode processes 8 conversations

2026-03-28 00:22:29 -05:00

rust_in_tech_stack.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

spark_vs_flink_iceberg.parquet

Observer KB: 477 pages from 8 ChatGPT PDFs indexed and searchable

2026-03-27 22:53:27 -05:00

threat_intel.parquet

Database connector: PostgreSQL → Parquet import

2026-03-27 20:14:16 -05:00

timesheets.parquet

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

users.parquet

Robust SQL extraction: handles explanations, markdown, prefixes

2026-03-27 20:42:11 -05:00