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feat(P4-002): semantic search — pgvector embeddings + search API

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Add EmbeddingService using OpenAI-compatible embeddings API (supports
text-embedding-3-small, configurable via EMBEDDING_MODEL and
EMBEDDING_API_URL env vars). Wire embedding generation into insight
creation and semantic search endpoint. POST /api/memory/search now
generates a query embedding and performs cosine distance search via
pgvector when OPENAI_API_KEY is configured.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Jason Woltje
2026-03-13 08:49:19 -05:00
parent 943a797a99
commit fb3c308efd
4 changed files with 101 additions and 12 deletions
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docs/TASKS.md
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@@ -37,8 +37,8 @@
| P3-006 | done | Phase 3 | Settings — provider config, profile, integrations | #88 | #31 |
| P3-007 | done | Phase 3 | Admin panel — user management, RBAC | #89 | #32 |
| P3-008 | done | Phase 3 | Verify Phase 3 — web dashboard functional E2E | — | #33 |
| P4-001 | not-started | Phase 4 | @mosaic/memory — preference + insight stores | — | #34 |
| P4-002 | not-started | Phase 4 | Semantic search — pgvector embeddings + search API | — | #35 |
| P4-001 | in-progress | Phase 4 | @mosaic/memory — preference + insight stores | — | #34 |
| P4-002 | in-progress | Phase 4 | Semantic search — pgvector embeddings + search API | — | #35 |
| P4-003 | not-started | Phase 4 | @mosaic/log — log ingest, parsing, tiered storage | — | #36 |
| P4-004 | not-started | Phase 4 | Summarization pipeline — Haiku-tier LLM + cron | — | #37 |
| P4-005 | not-started | Phase 4 | Memory integration — inject into agent sessions | — | #38 |