I think this is a really underexplored use case for LLMs. LLM embeddings are really good at encoding rich semantic information that’s easy to query and hack around with in a variety of ways. Retrieving primary sources that correspond to one or many thematic dimensions is one such case for embeddings, but most applications that do this portray it as a driver of RAG chatbots, when it could be an end in and of itself.

I have an app that does your book recommending idea but with Wikipedia articles. I am trying to release it soon, once I get past my perfectionism, if anyone is interested. Expanding to non Wikipedia sources is an eventual goal.

I basically never want to read chatbot output for pleasure. I want to read primary sources.