- Replace Brainy with TransformerEmbedding for embedding patterns
- Update initialization logic to support TransformerEmbedding features like `localFilesOnly`
- Adjust embedding logic to use TransformerEmbedding's embed method
- Remove unused Brainy-related code (e.g., close method)
- Fix FileSystemStorage counting non-existent files in totalCount
- Add safety check in BaseStorage to prevent hasMore:true with empty items
- Ensure pagination terminates correctly even with corrupted storage state
- Add incremental sorted index updates during CRUD operations for consistent <5ms range queries
- Implement parallel search optimization with vector, metadata, and graph intelligence fusion
- Fix metadata-only query handling to properly return results without vector search
- Fix NLP recursive call issue by using embed() instead of add()
- Add cardinality tracking for smart index optimization
- Store entity data in metadata for proper retrieval
- Add comprehensive performance documentation
This improves query performance from O(n) to O(log n) for range queries
and ensures consistent fast performance without lazy loading delays.
- Implements automatic fallback chain: CDN → GitHub → Hugging Face
- Adds Soulcraft CDN as primary model source (models.soulcraft.com)
- GitHub release tar.gz extraction as reliable backup
- Zero configuration required - fully automatic
- Guarantees same model (all-MiniLM-L6-v2) across all sources
- 384-dimensional embeddings for data compatibility
- Local caching after first download
- Production-ready with multiple redundancy layers
BREAKING CHANGE: Removed tar-stream dependency, now uses native tar command
BREAKING CHANGE: Remove hard delete option from deleteVerb() for consistent API
- Add complete metadata namespace architecture with O(1) soft delete performance
- Implement periodic cleanup system for old soft-deleted items
- Add restore methods for both nouns and verbs
- Require metadata contracts for all augmentations
- Eliminate namespace collisions with clean separation (_brainy, _augmentations, _audit)
- Optimize index performance using flattened dot-notation for O(1) lookups
- Add comprehensive augmentation safety system with type-safe access control
- Maintain full backward compatibility for existing data
- Add enterprise-grade cleanup with configurable age thresholds and batch processing
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Rename check-patterns.js to check-patterns.cjs for CommonJS compatibility
- Update package.json to reference .cjs file
- This fixes ES module errors when checking if patterns need rebuild
- Add embeddedPatterns.ts to version control (544KB file)
- Add check-patterns.js script to detect when rebuild is needed
- Modify build scripts to only rebuild patterns when changed
- This avoids memory-intensive pattern embedding on every npm publish
- Patterns rarely change, so this significantly speeds up releases
