RAG Memory
Provides a knowledge graph-enhanced retrieval system that combines vector search with graph-based relationships for persistent memory and contextual information retrieval
About
RAG Memory MCP Server provides AI assistants with a knowledge graph-enhanced retrieval system that combines vector search with graph-based relationships. Developed by ttommyth, it offers tools for document management (storing, chunking, embedding), knowledge graph operations (creating entities and relationships), and hybrid search capabilities that leverage both semantic similarity and structural connections. The implementation uses SQLite with vector extensions for efficient storage and retrieval, making it particularly valuable for applications requiring persistent memory, contextual information retrieval, and the ability to build complex knowledge representations that evolve over time.
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