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Personal knowledge base with semantic search for Claude

A local personal knowledge base using PostgreSQL and pgvector, with an MCP server for interacting with Claude.

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Personal Knowledge Base with Semantic Search for Claude

This tool provides a robust, local personal knowledge base designed for AI developers. It leverages PostgreSQL with the pgvector extension for efficient semantic search, allowing you to store and retrieve information based on meaning rather than just keywords. The integrated MCP server facilitates seamless interaction with Claude, enabling your AI agents to access and utilize your knowledge base contextually. This setup is ideal for building sophisticated AI applications that require deep understanding and recall of specific data.

What it Does

The core functionality is to create a private, searchable repository of your personal or project-specific data. By using semantic search, you can query your knowledge base using natural language, and the system will return the most relevant information based on conceptual similarity. The MCP server acts as an intermediary, allowing Claude to query this knowledge base programmatically. This means Claude can access and process your stored information to inform its responses, generate content, or perform tasks, all within a controlled, local environment.

Key Features

Who it's For

This tool is specifically for AI developers, researchers, and builders who need to integrate a private, intelligent knowledge base into their AI workflows. If you are working with large language models like Claude and require them to access and reason over your proprietary data, this solution offers the technical infrastructure to do so. It's suitable for projects involving custom AI agents, advanced chatbots, research assistants, or any application where deep, context-aware information retrieval is critical.