Graph store with Anthropic LLM and Ollama embedder not working

[acgonzales]

🐛 Describe the bug

I have this config and basic code to add a memory:

from mem0 import Memory

config = {
    "vector_store": {
        "provider": "qdrant",
        "config": {
            "collection_name": "test",
            "host": "localhost",
            "port": 6333,
            "embedding_model_dims": 768,
        },
    },
    "llm": {
        "provider": "anthropic",
        "config": {
            "model": "claude-3-5-sonnet-20241022",
            "temperature": 0.1,
            "max_tokens": 8192,
        },
    },
    "graph_store": {
        "provider": "neo4j",
        "config": {
            "url": "neo4j://localhost:7687",
            "username": "neo4j",
            "password": "password",
            "embedding_model_dims": 768,
        },
    },
    "embedder": {
        "provider": "ollama",
        "config": {
            "model": "nomic-embed-text:latest",
            "ollama_base_url": "http://localhost:11434",
        },
    },
    "version": "v1.1"
}

m = Memory.from_config(config)

res = m.add("I am working on improving my photography skills. Suggest some online courses.", user_id="john")
print(res)

The code above throws an error on the m.add statement.

anthropic.BadRequestError: Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'tool_choice: Input should be a valid dictionary or object to extract fields from'}}

It works well without the graph_store key in config.

I've been seeing examples where they only have graph_store in their config but I'm having issues with that as well and this is the error I'm getting.

config = {
    # "vector_store": {
    #     "provider": "qdrant",
    #     "config": {
    #         "collection_name": "test",
    #         "host": "localhost",
    #         "port": 6333,
    #         "embedding_model_dims": 768,
    #     },
    # },
    "llm": {
        "provider": "anthropic",
        "config": {
            "model": "claude-3-5-sonnet-20241022",
            "temperature": 0.1,
            "max_tokens": 8192,
        },
    },
    "graph_store": {
        "provider": "neo4j",
        "config": {
            "url": "neo4j://localhost:7687",
            "username": "neo4j",
            "password": "password",
            "embedding_model_dims": 768,
        },
    },
    "embedder": {
        "provider": "ollama",
        "config": {
            "model": "nomic-embed-text:latest",
            "ollama_base_url": "http://localhost:11434",
        },
    },
    "version": "v1.1"
}

ValueError: shapes (0,1536) and (768,) not aligned: 1536 (dim 1) != 768 (dim 0)

Versions

• Mem0 = 0.1.36
• Neo4j = 4.1.13
• Anthropic (PIP) = 0.42.0