weichen 5d5cef9fcd Add model identity and in-database vector top-k via pgvector (U6 slice 3) ...

Why: plan U6 vector slice (KTD11 correctness step) - same-dimension vectors from different models must never mix, and PG tiers should run filtered exact top-k in the database instead of scanning every row in-process.

Evidence: full suite green on SQLite and real PostgreSQL 18.6 with pgvector (35 packages each tier) - pgvector_test covers model-identity and dimension isolation, update/delete atomicity (BLOB and vec_pg swap together), shared top-5 with score monotonicity, Recall@10 = exact-scan parity, deny-all predicate leakage; storage-migrate tests green after excluding the derived vec_pg column.

Impact: v25 migration adds model/content_hash columns and (PG, best-effort DO block) the pgvector extension plus vec_pg column - absence degrades to in-process scan; UpsertKnowledgeVectorExt dual-writes BLOB (cross-tier authority) and vec_pg; SearchKnowledgeVectorsModel/SharedModel filter by model identity and use SQL exact top-k (ORDER BY vec_pg <=> q) with automatic degradation; embedders expose Model() and the rag pipeline threads it through indexing and both retrieve paths; storage-migrate excludes vec_pg as a derived column.

Refs: proposals/2026-10-11-collaboration-storage-and-distribution.md U6 slice 3, KTD11; R9.

2026-10-11 16:31:12 +00:00

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