AI & technology
RAG (Retrieval Augmented Generation)
RAG is a method in which a language model first retrieves the relevant passages from its own documents before answering and bases its response only on those passages.
Also known as: Retrieval Augmented Generation · Abrufgestützte Generierung
Last reviewed on September 16, 2026
What exactly does RAG (Retrieval Augmented Generation) mean?
The practical benefit: the model answers from your own materials — manuals, contracts, records — rather than from its general training knowledge. Because every answer is based on specific passages, it can be supported with citations and verified.
RAG is therefore the standard way to make a language model useful for operational questions without having to retrain it extensively.
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