7e3ba093c4
✅ 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>
27 lines
839 B
Python
27 lines
839 B
Python
#!/usr/bin/env python3
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"""
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Clean up collection with wrong dimensions
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"""
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import vecs
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def cleanup_wrong_dimensions():
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"""Clean up the collection with wrong dimensions"""
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print("🧹 Cleaning up collection with wrong dimensions...")
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connection_string = "postgresql://supabase_admin:CzkaYmRvc26Y@localhost:5435/postgres"
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db = vecs.create_client(connection_string)
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try:
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# Delete the collection with wrong dimensions
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db.delete_collection("mem0_working_test")
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print("✅ Deleted mem0_working_test collection")
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except Exception as e:
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print(f"⚠️ Could not delete collection: {e}")
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# Verify cleanup
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collections = db.list_collections()
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print(f"Remaining collections: {[c.name for c in collections]}")
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if __name__ == "__main__":
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cleanup_wrong_dimensions() |