graph store can't work

[koi646]

🐛 Describe the bug

from mem0 import Memory
config = {
    "version": "v1.1",
    # LLM
    "llm": {
        "provider": os.getenv("LLM_PROVIDER"),
        "config": {
            "model": os.getenv("LLM_MODEL"),
            "api_key": os.getenv("LLM_API_KEY"),
            "temperature": float(os.getenv("LLM_TEMPERATURE")),
        },
    },

    # Embedding
    "embedder": {
        "provider": os.getenv("EMBEDDING_PROVIDER"),
        "config": {
            "api_key": os.getenv("EMBEDDING_API_KEY"),
            "model": os.getenv("EMBEDDING_MODEL"),
        },
    },

    # Vector Store
    # "vector_store": {
    #     "provider": "pgvector",
    #     "config": {
    #         "dbname": os.getenv("POSTGRES_DB"),
    #         "user": os.getenv("POSTGRES_USER"),
    #         "password": os.getenv("POSTGRES_PASSWORD"),
    #         "host": os.getenv("POSTGRES_HOST"),
    #         "port": os.getenv("POSTGRES_PORT"),
    #     }
    # },

    # Graph Store
    "graph_store": {
        "provider": "neo4j",
        "config": {
            "url": os.getenv("GRAPH_STORE_URL"),
            "username": os.getenv("GRAPH_STORE_USERNAME"),
            "password": os.getenv("GRAPH_STORE_PASSWORD"),
        }
    }
}
mem0 = Memory.from_config(config_dict=config)
res = mem0.add("my name is Rosa", "rosa")
print(res)

this is error

WARNING:neo4j.notifications:Received notification from DBMS server: {severity: WARNING} {code: Neo.ClientNotification.Statement.UnknownPropertyKeyWarning} {category: UNRECOGNIZED} {title: The provided property key is not in the database} {description: One of the property names in your query is not available in the database, make sure you didn't misspell it or that the label is available when you run this statement in your application (the missing property name is: name)} {position: line: 20, column: 22, offset: 1336} for query: '\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (n)-[r]->(m)\n            RETURN n.name AS source, elementId(n) AS source_id, type(r) AS relation, elementId(r) AS relation_id, m.name AS destination, elementId(m) AS destination_id, similarity\n            UNION\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (m)-[r]->(n)\n            RETURN m.name AS source, elementId(m) AS source_id, type(r) AS relation, elementId(r) AS relation_id, n.name AS destination, elementId(n) AS destination_id, similarity\n            ORDER BY similarity DESC\n            '
WARNING:neo4j.notifications:Received notification from DBMS server: {severity: WARNING} {code: Neo.ClientNotification.Statement.UnknownPropertyKeyWarning} {category: UNRECOGNIZED} {title: The provided property key is not in the database} {description: One of the property names in your query is not available in the database, make sure you didn't misspell it or that the label is available when you run this statement in your application (the missing property name is: embedding)} {position: line: 16, column: 84, offset: 1070} for query: '\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (n)-[r]->(m)\n            RETURN n.name AS source, elementId(n) AS source_id, type(r) AS relation, elementId(r) AS relation_id, m.name AS destination, elementId(m) AS destination_id, similarity\n            UNION\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (m)-[r]->(n)\n            RETURN m.name AS source, elementId(m) AS source_id, type(r) AS relation, elementId(r) AS relation_id, n.name AS destination, elementId(n) AS destination_id, similarity\n            ORDER BY similarity DESC\n            '
WARNING:neo4j.notifications:Received notification from DBMS server: {severity: WARNING} {code: Neo.ClientNotification.Statement.UnknownPropertyKeyWarning} {category: UNRECOGNIZED} {title: The provided property key is not in the database} {description: One of the property names in your query is not available in the database, make sure you didn't misspell it or that the label is available when you run this statement in your application (the missing property name is: user_id)} {position: line: 3, column: 61, offset: 71} for query: '\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (n)-[r]->(m)\n            RETURN n.name AS source, elementId(n) AS source_id, type(r) AS relation, elementId(r) AS relation_id, m.name AS destination, elementId(m) AS destination_id, similarity\n            UNION\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (m)-[r]->(n)\n            RETURN m.name AS source, elementId(m) AS source_id, type(r) AS relation, elementId(r) AS relation_id, n.name AS destination, elementId(n) AS destination_id, similarity\n            ORDER BY similarity DESC\n            '
WARNING:neo4j.notifications:Received notification from DBMS server: {severity: WARNING} {code: Neo.ClientNotification.Statement.UnknownPropertyKeyWarning} {category: UNRECOGNIZED} {title: The provided property key is not in the database} {description: One of the property names in your query is not available in the database, make sure you didn't misspell it or that the label is available when you run this statement in your application (the missing property name is: name)} {position: line: 10, column: 22, offset: 580} for query: '\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (n)-[r]->(m)\n            RETURN n.name AS source, elementId(n) AS source_id, type(r) AS relation, elementId(r) AS relation_id, m.name AS destination, elementId(m) AS destination_id, similarity\n            UNION\n            MATCH (n)\n  

[koi646]

neo4j database is empty..

[koi646]

Neo4j verison 5.20