Rag_Agent

Develop a local AI agent using the Retrieval-Augmented Generation (RAG) model to process data privately and efficiently. This project enhances decision-making with accurate, context-aware responses across various domains. Open for contributions!

Welcome to the RAG_Agent repository! This project is focused on developing an AI agent that leverages Retrieval-Augmented Generation (RAG) along with a fine-tuned local AI model to enhance its ability to generate responses based on a vast corpus of information.

Project Owner

Yehonatan-Bar

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

What things you need to install the software and how to install them:

Python (>=3.6)
Git
Pip

Installation

Follow these steps to set up your development environment:

Clone the repository

Start by cloning the repository to your local machine:
```
git clone https://github.com/Yehonatan-Bar/RAG_Agent.git
cd RAG_Agent
```

Set up a virtual environment (recommended)

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Install dependencies

Install all the required packages using pip:
```
pip install -r requirements.txt
```

Running the application

To run the application, execute the following command:

python main.py

Contributing

We welcome contributions from everyone. Please read through our CONTRIBUTING.md document to understand how you can contribute to this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

Hat tip to anyone whose code was used
Inspiration
etc


### Notes:

1. **`requirements.txt`**: Make sure to create a `requirements.txt` file listing all the dependencies of your project. You can generate this file using `pip freeze > requirements.txt` if your project is already using these packages.

2. **Contributing Guidelines and License**: You will need to create `CONTRIBUTING.md` and `LICENSE` files to provide more detailed guidelines on how others can contribute and under what terms.

3. **Customization**: Feel free to customize the README to include any specific steps related to the setup or execution of your AI model or any additional scripts or environment variables needed.

This template should help you make your project accessible and understandable to potential contributors.

Yehonatan-Bar/Rag_Agent