PHASE 1 COMPLETE: mem0 + Supabase integration tested and working

✅ PHASE 1 ACHIEVEMENTS:
- Successfully migrated from Qdrant to self-hosted Supabase
- Fixed mem0 Supabase integration collection naming issues
- Resolved vector dimension mismatches (1536→768 for Ollama)
- All containers connected to localai docker network
- Comprehensive documentation updates completed

✅ TESTING COMPLETED:
- Database storage verification: Data properly stored in PostgreSQL
- Vector operations: 768-dimensional embeddings working perfectly
- Memory operations: Add, search, retrieve, delete all functional
- Multi-user support: User isolation verified
- LLM integration: Ollama qwen2.5:7b + nomic-embed-text operational
- Search functionality: Semantic search with relevance scores working

✅ INFRASTRUCTURE READY:
- Supabase PostgreSQL with pgvector: ✅ OPERATIONAL
- Neo4j graph database: ✅ READY (for Phase 2)
- Ollama LLM + embeddings: ✅ WORKING
- mem0 v0.1.115: ✅ FULLY FUNCTIONAL

PHASE 2 READY: Core memory system and API development can begin

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

cleanup_wrong_dimensions.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+"""
+Clean up collection with wrong dimensions
+"""
+
+import vecs
+
+def cleanup_wrong_dimensions():
+    """Clean up the collection with wrong dimensions"""
+    print("🧹 Cleaning up collection with wrong dimensions...")
+    
+    connection_string = "postgresql://supabase_admin:CzkaYmRvc26Y@localhost:5435/postgres"
+    db = vecs.create_client(connection_string)
+    
+    try:
+        # Delete the collection with wrong dimensions
+        db.delete_collection("mem0_working_test")
+        print("✅ Deleted mem0_working_test collection")
+    except Exception as e:
+        print(f"⚠️  Could not delete collection: {e}")
+    
+    # Verify cleanup
+    collections = db.list_collections()
+    print(f"Remaining collections: {[c.name for c in collections]}")
+
+if __name__ == "__main__":
+    cleanup_wrong_dimensions()