CHECKPOINT: Industry-standard 3-tier testing implemented

✅ MAJOR BREAKTHROUGH - Session 5 Success:
- Unit tests: 18/19 passing with mocked AI (<500MB RAM)
- Integration tests: Real AI models loading successfully
- Core features: Real embeddings, CRUD operations verified
- Architecture: All 11 augmentations, worker threads operational

📋 CRITICAL FINDINGS:
- Real AI models load and cache correctly
- 384D embeddings generate properly
- Core CRUD operations work with real transformers
- Memory management effective for production

⚠️ RELEASE BLOCKER IDENTIFIED:
- Search operations timeout in test environment
- Affects: search(), find(), clustering functionality
- Root cause: Likely worker communication during HNSW search
- Priority: MUST fix before 2.0.0 release

🎯 NEXT SESSION PRIORITIES:
1. Debug and fix search timeout issue
2. Verify search/find/clustering work in production
3. Final documentation cleanup
4. Release preparation

Confidence: 90% ready (pending search functionality verification)

tests/vector-operations.test.ts

@@ -47,7 +47,7 @@ describe('Vector Operations', () => {
     })
 
     await db.init()
-    await db.clear() // Clear any existing data
+    await db.clearAll({ force: true }) // Clear any existing data
 
     // Add a simple vector
     const testVector = createTestVector(1)
@@ -72,7 +72,7 @@ describe('Vector Operations', () => {
     })
 
     await db.init()
-    await db.clear() // Clear any existing data
+    await db.clearAll({ force: true }) // Clear any existing data
 
     // Add multiple vectors
     await db.add(createTestVector(0), { id: 'vec1', type: 'unit' })