[dbish]

Yep, we're doing RAG-ish search and ranking across many context types and modalities, you definitely can't just use a vectordb and do some chunking/search, there are a wide variety of search-like ranking, clustering, etc. and domain specific work for relevance and it's very hard to measure and prove improvements.

It's going to just evolve into recreating the various search and ranking processes of old just on top of a bit more semantic understanding with some smarter NLG layered in :). It won't be just LLMs, we'll have intent classification, named entity recognition, a personalization layer, reranking, all that fun stuff again.