feat: migrate embeddings to Candle WASM + remove semantic type inference
Major architectural changes:
1. EMBEDDINGS ENGINE (ONNX → Candle WASM):
- Replace ONNX Runtime with Rust Candle compiled to WASM
- Embedded model in WASM binary (no external downloads)
- Quantized Q8 precision with <50MB memory footprint
- Zero-download, offline-first operation
- Same embedding quality (all-MiniLM-L6-v2)
2. REMOVE SEMANTIC TYPE INFERENCE:
- Delete embeddedKeywordEmbeddings.ts (14MB of pre-computed embeddings)
- Remove typeAwareQueryPlanner.ts and semanticTypeInference.ts
- Remove VerbExactMatchSignal (uses keyword embeddings)
- Update SmartRelationshipExtractor to 3 signals (55%/30%/15% weights)
API CHANGES (requires v7.0.0):
- Removed: inferTypes(), inferNouns(), inferVerbs(), inferIntent()
- Removed: getSemanticTypeInference(), SemanticTypeInference class
- Removed: TypeInference, SemanticTypeInferenceOptions types
Users can still use natural language queries in find() - they just
need to specify type explicitly for type-optimized searches.
PACKAGE SIZE IMPACT:
- Compressed: 90.1 MB → 86.2 MB (-4.3%)
- Uncompressed: 114.4 MB → 100.3 MB (-12%)
- ~448K lines of code removed
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
David Snelling
da7d2ed29d