RAG pipeline now includes a cross-encoder rerank step between retrieval
and generation. The LLM re-sorts top-K results by relevance before
they become context. Falls back to original order if model output is
unparseable (~5% with 7B models). Also improved the generation prompt
to be domain-aware ("staffing database") and request specific citations.
Fixed 4 catalog manifests with bucket="data" (pre-federation leftover)
that poisoned the entire DataFusion query context on startup. The
"users", "lab_trials", "meta_runs", and "new_candidates" datasets
now correctly reference bucket="primary". This bug was surfaced by
the quality evaluation pipeline — wouldn't have been found by
structural tests alone.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Drop CSV/JSON/PDF/text into ./inbox → auto-detected → Parquet → queryable
- Polls every 10 seconds (configurable)
- Processed files moved to ./inbox/processed/
- Failed files moved to ./inbox/failed/
- Dedup: same file dropped twice = no-op
- Watcher starts automatically on gateway boot
- Tested: CSV dropped → queryable in <15s
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
