Comprehensive documentation of all fixes applied:
1. Missing build tags (fts5)
2. Database locked errors (busy_timeout)
All 41/42 packages now pass tests. The hybrid package has a known
macOS ARM64 limitation that doesn't affect CI or production.
No functionality was removed - all fixes are additive only.
Document the macOS ARM64 CGO linking issue with sqlite-vec-go-bindings
that prevents hybrid package tests from compiling locally.
Added:
- .github/TESTING.md: Comprehensive testing guide with platform-specific
issues, workarounds, and CI configuration details
- internal/vector/hybrid/README.md: Package-specific documentation
explaining the macOS limitation
- .github/CI_FIX_SUMMARY.md: Technical details of the CI fix
Key points:
- 41 out of 42 packages test successfully on all platforms
- hybrid package tests fail only on macOS ARM64 (local dev issue)
- Linux CI tests pass with proper build-tags: "fts5" configuration
- Production builds and runtime functionality unaffected
This is a known limitation of sqlite-vec-go-bindings on macOS ARM64
and does not impact CI/CD or production deployments.
Pass build-tags: "fts5" to shared workflow to properly compile
sqlite-vec-go-bindings with SQLite FTS5 support.
This fixes test failures in hybrid vector storage tests that require
CGO and FTS5 build tags.
Requires shared-actions@8f7f235 or later.
* Resolves issue #13
- Switched model to bge-small-en-v1.5
- Added lazy re-embedding
- Added model version tracking per vector
- Added conversion of vectors to the new model
* Add lfs support to the workflow.
* Implements importance scoring with decay + voting #6
* Resolves issue #5 by marking observations as superseeded and scheduled for deletion
* Implement pattern detection #7
* Improve injections and observations accuracy
- Session start: Recent observations for project context (recency-based)
- User prompt: Semantically relevant observations (similarity-based with threshold)
* Added two stage retrieval with bi and cross encoder #8
* Implement query expansion and reformulation #9
* Knowledge graph and relationships ( resolves#4 )
- File Overlap Detection: Detects relationships when observations modify/read the same files
- Concept Overlap Detection: Detects relationships based on shared semantic concepts
- Type Progression Detection: Infers relationships from natural observation type progressions (e.g., discovery → bugfix = "fixes")
- Temporal Proximity Detection: Detects relationships between observations in the same session within 5 minutes
- Narrative Mention Detection: Detects explicit relationship language in narratives (e.g., "fixes", "depends on", "supersedes")
* Add visualisation of the relations to the dashboard.
* fixup! Add visualisation of the relations to the dashboard.
* Update documentation with new settings and screenshots.
lukaszraczylo