How does grounding reduce AI hallucinations?
Grounding reduces hallucinations by giving the model verifiable context from approved sources and constraining the response to that context rather than relying only on what the model learned during training.
In practical terms
Grounding is most useful when the response can cite the source used to produce it. In regulated workflows, the retrieval result, source version, model response, confidence signal, and any human intervention should be retained together when the interaction may later need review.