Context Precision

Context precision is a RAG evaluation metric that measures whether the retrieved documents an agent was given actually contain the information needed to answer the query, as opposed to returning many irrelevant chunks that increase noise and token cost.

High context precision leads to more accurate agent responses at lower cost.

Closely related concepts include Answer Faithfulness, Context Recall, Answer Relevance, Ground Truth Evaluation. Each is defined in the Prefactor glossary.