Context Grounding

Context grounding is the practice of constraining a language model's answer to information present in the retrieved passages rather than its parametric knowledge. A grounded system is explicitly instructed to cite or stay within the provided context, reducing hallucination. Grounding is evaluated by checking whether each claim in the response can be traced to a specific retrieved passage — a property closely related to the faithfulness metric.