Document Retrieval-Augmented Generation

Example Use Cases

• 1

  Perform contextual queries on local document repositories.

• 2

  Integrate AI-generated insights into document management workflows.

• 3

  Access and manage documents from Git repositories or plain text files with local storage.

Description

This MCP server implements a Retrieval-Augmented Generation (RAG) system for documents stored locally. Users can query Git repositories or text files using LLMs and receive AI-generated responses with document context. Key features include listing documents, adding Git repositories or text files, and processing RAG queries.