What Is Retrieval-Augmented Generation (RAG)? How AI Answers with External Knowledge
SMRTR summary
Retrieval-Augmented Generation, or RAG, is a technique that helps AI models give better answers by pulling in outside information at the moment a question is asked. Instead of relying only on what the AI learned during training, RAG searches for relevant documents or data and uses them to shape the response, making answers more accurate, current, and grounded in real knowledge.
SMRTR provides this summary for quick context. The original article belongs to Unite AI.
Read the original article