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>

docs/augmentations/api-server.md

@@ -25,7 +25,9 @@ Built-in authentication and rate limiting when needed.
 
 The APIServerAugmentation is included in Brainy core. No additional installation required.
 
-For Node.js environments, you may want to install optional dependencies:
+**Bun** (recommended): No additional dependencies needed - use `Bun.serve()` directly.
+
+**Node.js**: Install optional Express dependencies:
 ```bash
 npm install express cors ws
 ```
@@ -259,6 +261,30 @@ Authorization: Bearer your-token
 
 ## Environment Support
 
+### Bun ✅ (Recommended)
+Native performance with Bun.serve() - no Express required. Works with `bun --compile` for single-binary deployment.
+
+```typescript
+// Simple Bun server with Brainy
+import { Brainy } from '@soulcraft/brainy'
+
+const brain = new Brainy()
+await brain.init()
+
+Bun.serve({
+  port: 3000,
+  async fetch(req) {
+    const url = new URL(req.url)
+    if (url.pathname === '/api/search') {
+      const { query } = await req.json()
+      const results = await brain.search(query)
+      return Response.json(results)
+    }
+    return new Response('Not Found', { status: 404 })
+  }
+})
+```
+
 ### Node.js ✅
 Full support with Express, WebSocket, and all features.