Retrieval-Augmented Generation
An approach that enhances AI model outputs by retrieving relevant information from external knowledge sources at inference time, grounding generated content in factual data.
In plain language
An AI that looks up relevant information before answering, rather than relying only on what it memorised during training. Like a person who checks their notes before answering a question.
Why this matters
RAG is strategically important for governance because it can reduce hallucination risk by grounding AI outputs in verified organisational knowledge. However, it also introduces data access and quality governance requirements that must be managed.
Relevance
GovernanceRAG systems require governance controls over data sources, access permissions and output validation to manage risks of unvetted or contaminated knowledge.
Related terms
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