- Wire local embedding provider as the default on startup when no profile is configured
- Refactor embedding settings into dedicated service, DTOs, mappers and models
- Rebuild settings page with profile management UI and live test feedback
- Expose index summary (indexed versions + embedding count) on repo endpoints
- Harden indexing pipeline and context search with additional test coverage
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Fix schema.test.ts: use Unix timestamp integers instead of Date objects for snippet_embeddings.createdAt
- Fix embedding.service.test.ts: use 'local-default' profile instead of non-existent 'test-profile', remove require() calls and use proper ESM imports
- Fix hybrid.search.service.test.ts: update VectorSearch.vectorSearch() calls to use options object instead of positional parameters, remove manual FTS insert (triggers handle it automatically)
- Fix migration 0002: improve SQL formatting with line breaks after statement-breakpoint comments
All 459 tests now passing (18 skipped).
- Add embedding_profiles table with provider registry pattern
- Install @xenova/transformers as runtime dependency
- Update snippet_embeddings with composite PK (snippet_id, profile_id)
- Seed default local profile using Xenova/all-MiniLM-L6-v2
- Add provider registry (local-transformers, openai-compatible)
- Update EmbeddingService to persist and retrieve by profileId
- Add version-scoped VectorSearch with optional versionId filtering
- Add searchMode (auto|keyword|semantic|hybrid) to HybridSearchService
- Update API /context route to load active profile, support searchMode/alpha params
- Extend MCP query-docs tool with searchMode and alpha parameters
- Update settings API to work with embedding_profiles table
- Add comprehensive test coverage for profiles, registry, version scoping
Status: 445/451 tests passing, core feature complete
Add EmbeddingProvider interface with OpenAI-compatible, local (optional
@xenova/transformers via dynamic import), and Noop (FTS5-only fallback)
implementations. EmbeddingService batches requests and persists Float32Array
blobs to snippet_embeddings. GET/PUT /api/v1/settings/embedding endpoints
read and write embedding config from the settings table.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
