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Type:
New Feature
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Resolution: Unresolved
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Priority:
Unknown
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Affects Version/s: None
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Component/s: AI/ML
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Python Drivers
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Context
Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users.
Enhance Mem0’s capabilities by integrating MongoDB Vector Search as a supported vector store provider. This integration will enable efficient storage, retrieval, and similarity search of vectorized data, aligning with Mem0’s mission to provide adaptable and cost-effective memory solutions for LLM applications.
Definition of done
•MongoDB Vector Search is fully integrated and functional within Mem0.
•Users can configure and use MongoDB as a vector store seamlessly.
•Comprehensive test coverage for all MongoDB-related operations.
•Updated documentation and usage guides for MongoDB integration.
References:{}
•[Mem0|https://mem0.ai]
• [Existing Mem0 Vector Store Integration Example|{*}https://github.com/mem0ai/mem0/blob/main/mem0/vector_stores/pgvector.py]{*}