Context precision

Context precision measures how much of the context retrieved by a RAG system is actually relevant to the question, and whether relevant chunks are ranked first. Low precision means the model is given noise, which raises cost and makes wrong answers more likely.

Read the full guide: What Is RAGAS — Testing RAG Pipelines Explained for QA Engineers