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Context Recall

Reviewed 19 July 2026Canonical definitionPart of: Agent Evaluation Terms →

Context recall is a RAG evaluation metric that measures whether all the information needed to answer a query was present in the retrieved context. Low recall means the agent is likely to miss key information and produce incomplete or hallucinated answers even with a high-quality model.

§01 / QUESTIONSterm: Context Recall
Questions

Common questions.

What is Context Recall?

Context recall is a RAG evaluation metric that measures whether all the information needed to answer a query was present in the retrieved context.

Why does Context Recall matter for AI agents?

Low recall means the agent is likely to miss key information and produce incomplete or hallucinated answers even with a high-quality model.

Which terms are related to Context Recall?

Closely related concepts include Answer Faithfulness, Context Precision, Continuous Integration Agent, Ground Truth Evaluation. Each is defined in the Prefactor glossary.

§02 / RELATEDnext: where this fits
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