RAG (Retrieval-Augmented Generation)

An AI architecture that combines real-time information retrieval with language model generation. Instead of relying solely on training data, RAG systems search external knowledge bases or the web to find relevant information, then use an LLM to synthesize it into a response. Powers real-time features in ChatGPT, Perplexity, and Gemini.