weichen
63f1fa5f87
feat(control-center): P2 document vector store — ingestion, chunking, embedding, hybrid search
- internal/controlcenter/embed: OpenAI-compatible /embeddings client
(batch<=16, 30s timeout, 5xx/network retried once, 4xx not), Embedder
interface, deterministic offline Stub, pgvector literal formatting
- internal/controlcenter/docs: .doc/**/*.md sync into cc_documents with
sha256 diffing and vanished-file removal; YAML front matter -> jsonb,
title fallback, taxonomy from first .doc dir; heading-based chunking
with paragraph bisection over ~1800 est. tokens; chunk_hash idempotent
inserts (unchanged chunks keep embeddings); embedding failures degrade
to NULL vectors without failing the sync; IndexArtifact for
cc_stage_artifacts; StartPeriodic ticker (CC_DOC_SYNC_SECONDS)
- server: GET /api/v1/docs (taxonomy/q filters), /api/v1/docs/{id},
/api/v1/docs/search (semantic|keyword|hybrid, ts_rank+ILIKE keyword
fallback, 0.6/0.4 max-normalized fusion, degraded flag when embedding
unavailable); async artifact indexing hooked into agent artifacts and
external-submit handlers
- archtest module-boundaries allowlist updated for new packages
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