LPLohith Pakalainlohith-logs.hashnode.dev·May 24 · 1 min readRAG is not answer to everything !So when should you actually use RAG? RAG (Retrieval Augmented Generation ) is a system where an LLM retrieves external information before generating a response . Instead of replying only on the traine00