Ask HN: How to optimise LLM embeddings for search

I've seen some people discuss on here about some techniques they have used to get more accuracy from using embeddings to perform search. For example, I have seen some suggest that extracting keywords from the text and creating an embedding out of those can work better. I was wondering if anyone had any articles testing these methods out; or if there were other methods people know about.