RAG, or retrieval-augmented generation, is one of the most effective ways to stop AI from hallucinating. Instead of relying only on what a model learned in training, RAG pulls relevant, up-to-date information from an external source before it answers — so the response is grounded in real data, not vague memory. This 60-second breakdown covers what RAG is, how the retrieval step actually works, and the simple mechanism that makes its answers more trustworthy than a standard model's. #RAG #RetrievalAugmentedGeneration #AI #LLM #Semrush