RAG (Retrieval Augmented Generation)

A technique that enhances Large Language Models by allowing them to retrieve relevant information from external knowledge sources (like databases or documents) before generating a response. This helps ground the model's output in factual, up-to-date information, reducing hallucinations and improving accuracy.