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.