Update on my February posts about replacing RAG retrieval with NL querying — some things I've learned from actually building it
About this article
A couple of months ago I posted here (r/LLMDevs, r/artificial) proposing that an LLM could save its context window into a citation-grounded document store and query it in plain language, replacing embedding similarity as the retrieval mechanism for reasoning recovery. Karpathy's LLM Knowledge Bases post and a recent TDS context engineering piece have since touched on similar territory, so it felt like a good time to resurface with what I've actually found building it. The hybrid question got ...
You've been blocked by network security.To continue, log in to your Reddit account or use your developer tokenIf you think you've been blocked by mistake, file a ticket below and we'll look into it.Log in File a ticket