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, Ground Truth Evaluation, Answer Relevance. Each is defined in the Prefactor glossary.
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