🔥 LLM Bring Your Own Data

QA Chat with your PDF using LangChain, Faiss, Streamlit and ChatGPT API

PDF sample data

🤔 Ask questions and 🤖 get concise answers based on your own data context

Setup Guide

1. Clone repo

    git clone https://github.com/domainio/llm-byod.git
    cd llm-byod
   

2. Create a Python virtual env

   python -m venv .venv
   source .venv/bin/activate
   

3. Install the required dependencies

   pip install -r requirements.txt
   

4. Create an OpenAI API key and put it in the .env file as OPENAI_API_KEY=<your API key>

5. Run the app

   streamlit run main.py
   

Important

You must have an active OpenAI API key which may involve costs. For instance:

Next steps

1. Enhance the prompts engineering for better accurate QA.
2. Add a history element to the chat with LLM.