f9f92706f3
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>
26 lines
704 B
JSON
26 lines
704 B
JSON
{
|
|
"id": "8621894c-f9c6-4eea-8e71-e80b9cdc9a36",
|
|
"name": "demo_customers",
|
|
"schema_fingerprint": "7af9708f2366f790e0ae03db6f681f5a4d4b8af4d1527b091bedfee1be81d304",
|
|
"objects": [
|
|
{
|
|
"bucket": "primary",
|
|
"key": "datasets/demo_customers.parquet",
|
|
"size_bytes": 4583,
|
|
"created_at": "2026-04-17T01:34:30.158848713Z"
|
|
}
|
|
],
|
|
"created_at": "2026-04-17T01:34:30.158849587Z",
|
|
"updated_at": "2026-04-17T01:34:30.158849587Z",
|
|
"description": "",
|
|
"owner": "",
|
|
"sensitivity": null,
|
|
"columns": [],
|
|
"lineage": null,
|
|
"freshness": null,
|
|
"tags": [],
|
|
"row_count": null,
|
|
"last_embedded_at": null,
|
|
"embedding_stale_since": null,
|
|
"embedding_refresh_policy": null
|
|
} |