https://github.com/sanskaryo/langchain_chat

https://github.com/sanskaryo/langchain_chat

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• Host: GitHub
• URL: https://github.com/sanskaryo/langchain_chat
• Owner: sanskaryo
• Created: 2024-07-14T07:24:05.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-15T04:43:57.000Z (6 months ago)
• Last Synced: 2024-07-15T08:38:16.332Z (6 months ago)
• Language: Python
• Size: 11 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Document Q/A using gemini and groq- gen ai project

LangChain Chat is a sophisticated application that leverages advanced Generative AI models, including Google's Gemini and Groq's open-source model, to provide accurate answers to questions based on document content. This project demonstrates the power of AI in document processing and information retrieval.

## Features

- **Document Ingestion**: Efficiently load and process PDF documents.

- **Advanced Embeddings**: Utilize Google's Gemini for high-quality vector embeddings.

- **Efficient Retrieval**: Implement FAISS for fast and accurate vector search.

- **Interactive Q&A**: Seamlessly ask questions and get context-aware answers.

- **User-Friendly Interface**: Built with Streamlit for an intuitive user experience.

## Installation

### Prerequisites

- Python 3.8 or higher

- pip (Python package installer)

### Steps

1. **Clone the Repository**:

    

sh

    git clone https://github.com/sanskaryo/langChain_chat.git

    cd langChain_chat

   

2. **Set Up a Virtual Environment**:

    

sh

    python -m venv .venv

    source .venv/bin/activate  # On Windows, use .venv\Scripts\activate

   

3. **Install Dependencies**:

    

sh

    pip install -r requirements.txt

   

4. **Configure Environment Variables**:

    Create a `.env` file in the project root directory and add your API keys:

    

plaintext

    groq_api=YOUR_GROQ_API_KEY

    google_api_key=YOUR_GOOGLE_API_KEY

   

## Usage

To run the application, use the following command:

sh

streamlit run app.py

## Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

## Credits

Inspired by Krishna Naik Sir.

## Author

Made by Sanskar Khandelwal with ❤️

## License

This project is licensed under the MIT License.

This README provides a comprehensive overview of the project, installation steps, usage instructions, contribution guidelines, and licensing information.