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>

README.md

@@ -197,7 +197,7 @@ const brain = new Brainy({
 })
 ```
 **Scale:** Thousands to hundreds of thousands • **Performance:** <5ms queries
-**→ [Production Service Architecture](docs/PRODUCTION_SERVICE_ARCHITECTURE.md)** — Singleton patterns, caching, and scaling for Express/Node.js services
+**→ [Production Service Architecture](docs/PRODUCTION_SERVICE_ARCHITECTURE.md)** — Singleton patterns, caching, and scaling for Bun/Node.js services
 
 ### 🏢 Growing Company → Multi-Million Scale
 ```javascript
@@ -685,12 +685,18 @@ This comprehensive guide includes:
 
 ## Requirements
 
-**Node.js 22 LTS** (recommended) or **Node.js 20 LTS**
+**Bun 1.0+** (recommended) or **Node.js 22 LTS**
 
 ```bash
-nvm use  # We provide .nvmrc
+# Bun (recommended - best performance, single-binary deployment)
+bun install @soulcraft/brainy
+
+# Node.js (fully supported)
+npm install @soulcraft/brainy
 ```
 
+> **Why Bun?** Brainy's Candle WASM engine works seamlessly with `bun --compile` for standalone binary deployment. No external model files, no runtime downloads.
+
 ---
 
 ## Why Brainy Exists