https://resfuturas.com/tags/rag/Recent content in RAG on Res FuturasHugo -- gohugo.ioen-usSat, 14 Feb 2026 00:00:00 +0000https://resfuturas.com/posts/exploration-of-rags-and-designing-a-rag-system/Sat, 14 Feb 2026 00:00:00 +0000https://resfuturas.com/posts/exploration-of-rags-and-designing-a-rag-system/RAG (Retrieval-Augmented Generation) RAG (Retrieval-Augmented Generation) is the way to integrate knowledge outside your model’s training data into your LLM. A prime candidate for this is “Private Documents”. RAG makes it possible for an LLM to answer a question like: Is my LG TV's warranty still valid for intermittent screen flickering issues? Without knowledge of your warranty documents, the LLM has to ask you follow-up questions like When did you buy it?