Microsoft published quite a bit on the notion of graph RAG which is about enhancing regular RAG (retrieval augmented search) with graph databases. The idea is t

Microsoft published quite a bit on the notion of graph RAG which is about enhancing regular RAG (retrieval augmented search) with graph databases. The idea is that instead of just pulling semantically related information to the query, it also pulls in information about things connected to those things. This gives the LLM more contextual information to work with. Sounds like it would probably have. If you combine that with entity recognition and automated graph construction from unstructured data, you might get something that is vaguely useful.