46faa78237
- Complete fact-based memory API with mem0-inspired approach - Individual fact extraction and deduplication - ADD/UPDATE/DELETE memory actions - Precision search with 0.86+ similarity scores - MCP server for Claude Code integration - Neo4j graph relationships and PostgreSQL vector storage - Comprehensive documentation with architecture and API docs - Matrix communication integration - Production-ready Docker setup with Ollama and Supabase 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
90 lines
3.6 KiB
Python
90 lines
3.6 KiB
Python
#!/usr/bin/env python3
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"""
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Check what data is stored in Neo4j
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"""
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import asyncio
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from neo4j import AsyncGraphDatabase
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import json
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# Configuration
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NEO4J_URL = "bolt://localhost:7687"
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NEO4J_USER = "neo4j"
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NEO4J_PASSWORD = "langmem_neo4j_password"
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async def check_neo4j_data():
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"""Check Neo4j data stored by LangMem"""
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print("🔍 Checking Neo4j Data from LangMem")
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print("=" * 50)
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try:
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driver = AsyncGraphDatabase.driver(NEO4J_URL, auth=(NEO4J_USER, NEO4J_PASSWORD))
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async with driver.session() as session:
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# Check all nodes
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print("1. All nodes in the database:")
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result = await session.run("MATCH (n) RETURN labels(n) as labels, count(n) as count")
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async for record in result:
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print(f" {record['labels']}: {record['count']}")
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# Check Memory nodes
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print("\n2. Memory nodes:")
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result = await session.run("MATCH (m:Memory) RETURN m.id as id, m.created_at as created_at")
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async for record in result:
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print(f" Memory ID: {record['id']}")
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print(f" Created: {record['created_at']}")
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# Check Entity nodes
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print("\n3. Entity nodes:")
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result = await session.run("MATCH (e:Entity) RETURN e.name as name, e.type as type, e.properties_json as props")
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async for record in result:
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print(f" Entity: {record['name']} ({record['type']})")
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if record['props']:
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try:
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props = json.loads(record['props'])
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print(f" Properties: {props}")
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except:
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print(f" Properties: {record['props']}")
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# Check relationships
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print("\n4. Relationships:")
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result = await session.run("""
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MATCH (m:Memory)-[r:RELATES_TO]->(e:Entity)
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RETURN m.id as memory_id, r.relationship as relationship,
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e.name as entity_name, r.confidence as confidence
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""")
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async for record in result:
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print(f" {record['memory_id'][:8]}... {record['relationship']} {record['entity_name']} (confidence: {record['confidence']})")
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# Full graph visualization query
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print("\n5. Full graph structure:")
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result = await session.run("""
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MATCH (m:Memory)-[r:RELATES_TO]->(e:Entity)
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RETURN m.id as memory_id,
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r.relationship as relationship,
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e.name as entity_name,
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e.type as entity_type,
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r.confidence as confidence
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ORDER BY r.confidence DESC
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""")
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print(" Graph relationships (Memory → Entity):")
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async for record in result:
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print(f" {record['memory_id'][:8]}... →[{record['relationship']}]→ {record['entity_name']} ({record['entity_type']}) [{record['confidence']}]")
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await driver.close()
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print("\n" + "=" * 50)
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print("✅ Neo4j data check complete!")
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print("🌐 Neo4j Browser: http://localhost:7474")
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print(" Username: neo4j")
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print(" Password: langmem_neo4j_password")
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print("\n💡 Try these Cypher queries in Neo4j Browser:")
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print(" MATCH (n) RETURN n")
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print(" MATCH (m:Memory)-[r:RELATES_TO]->(e:Entity) RETURN m, r, e")
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except Exception as e:
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print(f"❌ Error: {e}")
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if __name__ == "__main__":
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asyncio.run(check_neo4j_data()) |