RAG (Retrieval-Augmented Generation)
An AI architecture that combines a language model with a retrieval system. Before generating a response, the system retrieves relevant documents from a knowledge base, then passes them to the model as context. RAG reduces hallucinations and allows models to access up-to-date information.
