LLama3-ChatPDF

A local RAG application wity LLama3, Langchain, Ollama, and Streamlit. Naming things are hard and for the sake of simplicity.

Chat with Your PDFs Locally

Overview

This application allows you to chat with your PDF documents locally. It's built using a combination of advanced technologies to provide a seamless and interactive experience.

Features

• Local Processing: All operations are performed locally to ensure data privacy and security.
• Interactive Chat Interface: Use Streamlit to interact with your PDFs through a chat interface.
• Powerful Backend: Leverage LLama3, Langchain, and Ollama for robust document processing and interaction.

Technologies Used

• LLama3: LLM for natural language processing and understanding.
• Langchain: To facilitate interactions and manage the chat logic.
• Ollama: For additional language processing capabilities.
• Streamlit: For building an interactive and user-friendly web interface.

Installation

1. Clone the Repository

   git clone https://github.com/Sh9hid/llama3-chatpdf.git
   cd LLama3-ChatPDF
   

2. Install Dependencies

   pip install -r requirements.txt
   

3. Usage

   streamlit run app
   

Roadmap

• Add OpenAI API key input to the app, and fix the deployment.
• Add modularity.
• Enhance readability.
• Model select feature. Instead, of hard coding Llama3. Change name to something more meaningful.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request for review.

License

This project is licensed under the MIT License. See the LICENSE file for details.