How RAG Works | How AI Uses Search to Answer Accurately | Inference-time augmentation

Large language models can sound confident even when they are wrong. One popular way to reduce this is called Retrieval-Augmented Generation (RAG). RAG is a simple idea: Before the AI answers, it first retrieves relevant information from documents, then generates a response using that information. In this video, I explain how RAG works in a simple, visual way using diagrams, with no math and no technical background required. In this video, you’ll learn: What RAG is and why it exists The difference between “model memory” and “document retrieval” How RAG retrieves relevant chunks from a knowle…