# Rag

A web application harnessing the power of Google AI's Gemini generative model for creative text generation and exploration.

## Description

This open-source project provides a user-friendly interface to interact with Gemini's capabilities through a Streamlit web app with additional pdf chat and more

## Installation

1. Clone the repository:

   git clone https://github.com/GDSC-SCTCE/Rag.git

2. Install dependencies:

   cd Rag
   pip install -r requirements.txt

3. Set up Pinecone API key (optional):

   • If you want to use Pinecone for vector search, create a free account at https://www.pinecone.io/ and get your API key.

   • Set the API key as an environment variable:

     export PINECONE_API_KEY=YOUR_API_KEY

## Usage

1. Run the app:

   streamlit run main.py

2. Access the app in your browser:

   • Open http://localhost:8501/ in your web browser.

## Contributing

We welcome contributions and feedback! Feel free to open issues or pull requests to enhance the project.

## License

Rag is licensed under the MIT License.