Jason Woltje 3dfa603a03 feat(#69): implement embedding generation pipeline ...

Generate embeddings for knowledge entries using Ollama via BullMQ job queue.

Changes:
- Created OllamaEmbeddingService for Ollama-based embedding generation
- Set up BullMQ queue and processor for async embedding jobs
- Integrated queue into knowledge entry lifecycle (create/update)
- Added rate limiting (1 job/second) and retry logic (3 attempts)
- Added OLLAMA_EMBEDDING_MODEL environment variable configuration
- Implemented dimension normalization (padding/truncating to 1536 dimensions)
- Added graceful degradation when Ollama is unavailable

Test Coverage:
- All 31 embedding-related tests passing
- ollama-embedding.service.spec.ts: 13 tests
- embedding-queue.spec.ts: 6 tests
- embedding.processor.spec.ts: 5 tests
- Build and linting successful

Fixes #69

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

2026-02-02 15:06:11 -06:00

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api

feat(#69): implement embedding generation pipeline

2026-02-02 15:06:11 -06:00

coordinator

fix(#180): Update pnpm to 10.27.0 in Dockerfiles

2026-02-01 20:52:43 -06:00

orchestrator

feat(#66): implement tag filtering in search API endpoint

2026-02-02 14:33:31 -06:00

web

feat(#67): implement search UI with filters and shortcuts

2026-02-02 14:50:25 -06:00