/GymBuddyPY

Gym Assistant chatbot. Built with Python, Langchain, OpenAI and Chroma DB vector store.

Primary LanguagePython

RAG Chatbot

This is an LLM Chatbot powered by RAG. The tech stack includes Python, Langchain, OpenAI and Chroma DB vector store. Hosted on Streamlit.

LLM - Large Language Model
RAG - Retrieval Augumented Generation

For a video walkthrough, click this YouTube link to watch.

image info

  1. Create and activate virtual environment
python3 -m venv myvenv
source myvenv/bin/activate
  1. Create and activate virtual environment on windows CMD
python -m venv myvenv
cd myvenv
.\Scripts\activate.bat
  1. Install libraries and dependencies
pip3 install -r requirements.txt

  1. Get OpenAI API key

  2. Run Streamlit app

streamlit run main.py

Split document and save to Supabase Vector database (Run once or only when you need to store a document)

python3 split_document.py

More Docs and Links

Streamlit Docs
Langchain Python Docs
Langchain Conversational RAG Docs

research a better chunck_size and chunck_overlap to use