This is a simple lab I have implemented to test Knowledge Augmented or Retrieval Augmented Generation (RAG) with Large Language Models. In particular, I am using LangChain, Streamlit, and OpenAI ChatGPT API. This project has been an excuse to try RAG and LangChain.
Run it with:
streamlit run chat.py
Disclaimer: This is a personal project without any guarantee and I am not planning to maintain it.
I have fixed the requirements with the versions I have used during the development. But the code will probably work with previous and newer versions.
Install the requirements with
python3 -m pip install -r requirements.txt
You will also need to create a .env file with the content:
OPENAI_API_KEY="YOUR OPENAI API KEY"
After running the streamlit app with
streamlit run chat.py
access to the website.
The repository has a sample of documents in the data/test_workers folder. You can ask ChatGPT about them:
