RAG (Retrieval-Augmented Generation)

A technique where a language model retrieves relevant documents (via web search or an internal index) before generating an answer, instead of relying solely on knowledge learned during training. Most AI answer engines with citations (Perplexity, ChatGPT with browsing) use some form of RAG.