https://wiki.alt-text.eu/index.php?action=history&feed=atom&title=Retrieval-augmented_generation_%28RAG%29Retrieval-augmented generation (RAG) - Revision history2026-09-15T06:37:05ZRevision history for this page on the wikiMediaWiki 1.45.3https://wiki.alt-text.eu/index.php?title=Retrieval-augmented_generation_(RAG)&diff=69&oldid=previmported>ALT-TEXT: Import: AI terminology and people glossary2026-09-07T10:36:21Z<p>Import: AI terminology and people glossary</p>
<p><b>New page</b></p><div>== Retrieval-augmented generation (RAG) ==<br />
A technique that combines a [[Large language model (LLM)|large language model]] with an external, searchable source of information, so the model can retrieve relevant facts or documents before generating its answer, rather than relying solely on what it learned during training. RAG is commonly used to reduce [[Hallucination (AI)|hallucination]] and to let a model answer questions about material published after its training cut-off. (See also: [[Hallucination (AI)|Hallucination]], [[Embeddings]])<br />
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[[Category:Glossary]]<br />
[[Category:Artificial Intelligence]]<br />
[[Category:Machine Learning]]<br />
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