Unless we’re going to paste a whole domain corpus into the context window, we’re going to continue to need some sort of “relevance function” - a means of discri

Unless we’re going to paste a whole domain corpus into the context window, we’re going to continue to need some sort of “relevance function” - a means of discriminating what needs to go in from what doesn’t. That could be as simple as “document A goes in, document B doesn’t”. That’s RAG. Doesn’t matter that you didn’t use vectors or knowledge graphs or FTS or what have you. Then the jump from “this whole document” to “well actually I only need this particular bit” puts you immediately into the territory of needing some sort of semantic map of the document. I don’t think it makes conceptual sense to think about using LLMs without some sort of domain relevance function.