Install

• Make sure you have python3 installed
• Run ./setup.sh
• Copy ./.streamlit/secrets.template.toml to ./.streamlit/secrets.toml and fill it

Run

| First run will be slower as the langchain index has to be created first

• Run source .venv/bin/activate
• Run streamlit run site.py

What it does

• Ask a question
• A model rewords the question (refine.py) => "text-davinci-003"
• A model turns the refine question in embed (embeds.py) => "text-embedding-ada-002"
• The embedings are sent to the indexer (indexer.py) => "pinecone"
• The indexer responds with matches
• The matches are passed with the question => "gpt-3.5" | "gpt-4" + system + history
• The model responds