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>
54 lines
1.3 KiB
JSON
54 lines
1.3 KiB
JSON
{
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"id": "57e557a8-4754-47c9-9636-e01d39fc20f2",
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"name": "animals",
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"schema_fingerprint": "b024b907f151889aca5407fc46fe1821d2600f587cb1a26742843597a66436f1",
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"objects": [
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{
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"bucket": "primary",
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"key": "datasets/animals.parquet",
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"size_bytes": 1107,
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"created_at": "2026-04-16T13:47:57.033455363Z"
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}
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],
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"created_at": "2026-04-16T13:47:57.033456007Z",
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"updated_at": "2026-04-16T13:47:57.033631067Z",
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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": "animal_id",
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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": "species",
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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": "habitat",
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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": "animals.csv",
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"ingest_job": "ingest-1776347277033",
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"ingest_timestamp": "2026-04-16T13:47:57.033455363Z",
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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": 3,
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"last_embedded_at": null,
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"embedding_stale_since": null,
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"embedding_refresh_policy": null
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} |