I had one client who made their whole thing about knowledge graphs, which I worked on because I needed money and it was interesting, but I am still a little sus

I had one client who made their whole thing about knowledge graphs, which I worked on because I needed money and it was interesting, but I am still a little suspicious that they may have had "knowledgebase" and "knowledge graphs" mixed up and did not know about vector search. I think for the particular use case, something like filtering the vector search based on tags for each document and then (maybe) a relatively inexpensive and fast reranking LLM step could have worked as well or better. But the reranker is not necessarily important with a strong model and including enough results.