Goal: better, more focused search for www.cali.org.
In general the plan is to scrape the site to a vector database, enable embeddings of the vector db in Llama 2, provide API endpoints to search/find things.
Hints and pointers.

Llama2-webui – Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere
FastAPI – web framework for building APIs with Python 3.7+ based on standard Python type hints
Danswer – Ask Questions in natural language and get Answers backed by private sources. It makes use of

PostgreSQL – a powerful, open source object-relational database system
QDrant – Vector Database for the next generation of AI applications.
Typesense – a modern, privacy-friendly, open source search engine built from the ground up using cutting-edge search algorithms, that take advantage of the latest advances in hardware capabilities.

The challenge is to wire together these technologies and then figure out how to get it to play nice with Drupal. One possibility

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