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Createdwatamoo

Enables Retrieval Augmented Generation (RAG) systems by providing a Python server that leverages OpenAI's vector store capabilities using the Model Context Protocol (MCP).

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About

This Python-based server utilizes the Model Context Protocol (MCP) and OpenAI's vector store capabilities to facilitate Retrieval Augmented Generation (RAG) systems. It allows users to create vector databases from various file types within a specified directory and query these databases to retrieve relevant information. The server offers tools for creating and querying vector databases, integrating with Claude apps, and testing via MCP Inspector.

Key Features

  • Offers tools for creating and querying vector databases.
  • Provides testing capabilities via MCP Inspector.
  • 0 GitHub stars
  • Supports querying vector databases for relevant information.
  • Creates vector databases from files (text, PDF, DOCX, Markdown).
  • Integrates with Claude apps.

Use Cases

  • Creating chatbots that can answer questions based on local files.
  • Integrating local document search into AI applications.
  • Building RAG systems using local knowledge bases.
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