RAG Memory PostgreSQL MCP

Example Use Cases

• 1

  Persistent, synchronized knowledge graph and document memory across devices.

• 2

  Semantic and hybrid search capabilities over documents and entities.

• 3

  Flexible embedding options with local or OpenAI-powered embeddings.

Description

This MCP server enables agents to manage and search knowledge graphs, process and embed documents, and perform semantic and hybrid searches using a PostgreSQL/Supabase backend. It supports multi-machine synchronization and offers embedding modes using local HuggingFace models or OpenAI for faster performance. The server is configurable with various tool modes and supports full-text search for enhanced query speed and accuracy.