RAG (Retrieval-Augmented Generation)

A technique where an AI system retrieves relevant information from external sources at query time and uses it to generate a response, rather than relying solely on training data. Perplexity is built on RAG architecture — it fetches and cites live web content in its responses. Understanding RAG explains why content freshness and factual density are particularly important for Perplexity citation.