Experimenting with chat mode for Netdata Assistant
See .env.example for required env vars and set them in .env file.
or
See .streamlit/secrets.example.toml for required env vars and set them in .streamlit/secrets.toml file.
Run index_build.py step by step to build the index and store the vectors in Pinecone.
You can run a query using index_query.py notebook to play around a bit.
Run streamlit app locally using:
streamlit run app.pyThis will open a browser window with the app running and pulling from the live Pinecone index.