Context Recall

Context recall measures how much of the information needed to answer a question the retriever actually surfaces from the document store. A retriever with high precision but low recall finds only some of the evidence required, leaving the generator without key facts. Context recall is typically estimated by checking whether each claim in a reference answer can be attributed to at least one retrieved passage, and it guides decisions about increasing top-K or improving query coverage.