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retrieval-augmented generation

noun \ri-ˈtrē-vəl ȯg-ˈmen-təd ˌje-nə-ˈrā-shən\

also RAG

TopicPrompting & Context First known use2020 Senses1
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Definition of retrieval-augmented generation

  1. : a technique in which a system first searches a collection of documents for relevant passages and then gives them to the model, so its answer is based on real, current sources

    • With RAG, the chatbot answers from our latest policy documents instead of its memory.
    • Most 'chat with your PDF' tools are RAG under the hood.

Origin & history

first known use2020

Named in a 2020 paper by researchers at Facebook AI.

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Related terms

grounding connecting a model's answer to trusted sources, such as documents, databases, or search… vector database a database built to store embeddings and quickly find the ones most similar to a query, used… embedding a list of numbers (a vector) that represents the meaning of a piece of text, an image, or… chunking splitting long documents into smaller pieces before creating embeddings, so a retrieval system… semantic search search that matches the meaning of a query rather than its exact words, usually by comparing… hallucination a confident but false or made-up statement produced by an AI model, such as an invented fact… llms.txt a proposed plain-text file placed at the root of a website that gives AI models a short… LLM grooming deliberately flooding the internet with false or slanted content in the hope that AI models…

Cite this entry

"Retrieval-augmented generation." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/retrieval-augmented-generation/. Accessed 4 Oct. 2026.

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