AI Search & AI Overviews
Retrieval-Augmented Generation (RAG)
A technique where an LLM retrieves relevant information from external sources before generating an answer.
Definition
AI Search & AI OverviewsRetrieval-Augmented Generation (RAG) is a technique where a Large Language Model retrieves relevant information from external sources (like the web or a database) before generating an answer. RAG combines the generative capabilities of LLMs with up-to-date, grounded information. Google AI Overviews and Perplexity use RAG.
Why it matters
RAG is the architecture behind generative search. Understanding it helps explain why certain sources are cited over others.
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