What is Retrieval-Augmented Generation in NLP Simple idea. Big impact. Retrieval-Augmented Generation, often shortened to RAG, blends two abilities that used to live separately. One part searches for relevant information. The other part writes human-like responses based on that information. When these work together, the output feels grounded, accurate, and context-aware. Traditional language models rely only on what they learned during training. That creates limits. […]






