/MCP-RAG-Local-AI-Agent

Local AI agent implemented using MCP and RAG in python

Primary LanguagePython

Local AI Agent with RAG and MCP

This project implements a local AI agent that utilizes Retrieval-Augmented Generation (RAG) to enhance its capabilities. The agent is designed to work offline, ensuring data privacy and security while providing intelligent responses.

Features

  • Retrieval-Augmented Generation (RAG): Combines retrieval-based methods with generative AI for more accurate and context-aware responses.
  • Offline Functionality: Operates locally without requiring internet access, ensuring data privacy.
  • Customizable Knowledge Base: Easily integrate your own documents and data for personalized responses.
  • Lightweight and Efficient: Optimized for local environments with minimal resource requirements.

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/LocalAIAgentWithRAG.git
cd LocalAIAgentWithRAG

  2. Install dependencies:

    pip install -r requirements.txt

  3. Set up your knowledge base by adding documents to the data/ directory.

Usage

Run the AI agent locally:

python main.py

Interact with the agent through the provided interface or API.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes.

License

This project is licensed under the MIT License.

Acknowledgments

  • Inspired by advancements in Retrieval-Augmented Generation (RAG).
  • Thanks to the open-source community for tools and libraries used in this project.
  • Special thanks to contributors and testers for their valuable feedback.