GEO / AI Search · RAG
RAG
Definition
What is RAG?
Retrieval-Augmented Generation. Pattern where an LLM first retrieves relevant passages from a knowledge base, then generates an answer grounded in those passages. Underpins Perplexity, AI Overviews, and most enterprise AI search products.
Related terms
Cross-linked concepts
- EmbeddingNumerical vector representation of a piece of text, image, or other content. Two embeddings that are close in vector space represent semantically similar content. Foundation of vector search and RAG.
- Vector SearchSearch that compares query and document embeddings rather than keywords. Returns semantically similar passages even when no exact word overlap exists. Powers most modern AI retrieval stacks.
Same category
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