Retrieval-augmented generation
id:
retrieval-augmented-generation-186-9207550
title:
Retrieval-augmented generation
text:
Retrieval augmented generation (RAG) is a type of generative artificial intelligence that has information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information in preference to information drawn from its own vast, static training data. This allows LLMs to use domain-specific and/or updated information. Use cases include providing chatbot access to interna
brand slug:
wiki
category slug:
encyclopedia
description:
Type of information retrieval using LLMs
original url:
https://en.wikipedia.org/wiki/Retrieval-augmented_generation
date created:
2023-11-05T13:19:20Z
date modified:
2024-09-08T00:53:19Z
main entity:
{"identifier":"Q121362277","url":"https://www.wikidata.org/entity/Q121362277"}
image:
fields total:
13
integrity:
15