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>

debug_mem0migrations.py

@@ -0,0 +1,95 @@
+#!/usr/bin/env python3
+"""
+Debug mem0migrations table issue
+"""
+
+import psycopg2
+import vecs
+
+def debug_mem0migrations():
+    """Debug the mem0migrations table issue"""
+    print("=" * 60)
+    print("MEM0MIGRATIONS TABLE DEBUG")
+    print("=" * 60)
+    
+    try:
+        # Connect to database directly
+        conn = psycopg2.connect("postgresql://supabase_admin:CzkaYmRvc26Y@localhost:5435/postgres")
+        cur = conn.cursor()
+        
+        print("🔍 Examining mem0migrations table...")
+        
+        # Check if table exists
+        cur.execute("""
+            SELECT column_name, data_type, character_maximum_length, is_nullable
+            FROM information_schema.columns 
+            WHERE table_schema = 'vecs' AND table_name = 'mem0migrations'
+            ORDER BY ordinal_position;
+        """)
+        columns = cur.fetchall()
+        
+        if columns:
+            print("✅ mem0migrations table exists with columns:")
+            for col in columns:
+                print(f"   - {col[0]}: {col[1]} (nullable: {col[3]})")
+                
+            # Check vector dimension
+            cur.execute("SELECT dimension FROM vecs.mem0migrations LIMIT 1;")
+            try:
+                result = cur.fetchone()
+                if result:
+                    print(f"   📏 Vector dimension appears to be configured for: {len(result[0]) if result[0] else 'unknown'}")
+                else:
+                    print("   📏 Table is empty")
+            except Exception as e:
+                print(f"   ❌ Cannot determine dimension: {e}")
+                
+            # Get record count
+            cur.execute("SELECT COUNT(*) FROM vecs.mem0migrations;")
+            count = cur.fetchone()[0]
+            print(f"   📊 Record count: {count}")
+            
+        else:
+            print("❌ mem0migrations table does not exist in vecs schema")
+            
+        print("\n🧹 Attempting to clean up corrupted collections...")
+        
+        # Connect with vecs
+        connection_string = "postgresql://supabase_admin:CzkaYmRvc26Y@localhost:5435/postgres"
+        db = vecs.create_client(connection_string)
+        
+        # Try to delete the problematic collections
+        problematic_collections = ["mem0migrations", "mem0_vectors", "mem0_working_test"]
+        
+        for collection_name in problematic_collections:
+            try:
+                print(f"   🗑️  Attempting to delete: {collection_name}")
+                db.delete_collection(collection_name)
+                print(f"   ✅ Successfully deleted: {collection_name}")
+            except Exception as e:
+                print(f"   ⚠️  Could not delete {collection_name}: {e}")
+        
+        # Verify cleanup
+        print("\n📋 Collections after cleanup:")
+        collections = db.list_collections()
+        for col in collections:
+            print(f"   - {col.name} (dim: {col.dimension})")
+            
+        cur.close()
+        conn.close()
+        
+        print("\n🧪 Testing fresh collection creation...")
+        test_collection = db.get_or_create_collection(name="fresh_test", dimension=1536)
+        print(f"✅ Created fresh collection: {test_collection.name}")
+        
+        # Clean up test
+        db.delete_collection("fresh_test")
+        print("✅ Cleaned up test collection")
+        
+    except Exception as e:
+        print(f"❌ Debug failed: {str(e)}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    debug_mem0migrations()