In more detail
RAG — retrieval-augmented generation — means the AI looks things up before it answers. Instead of relying only on what it absorbed during training, the system first fetches the most relevant passages from your documents and hands them to the model alongside your question.
Think of it as an open-book exam instead of a memory test. It’s the standard cure for two big problems: hallucination, because the model can cite your actual text, and staleness, because it can read files far newer than its training. Most ‘chat with your documents’ tools are RAG underneath.
Goes with