Context Precision

Context precision measures the proportion of retrieved passages that are actually relevant to answering the query. A retriever with low precision returns many irrelevant chunks alongside the relevant ones, which can confuse the generator, waste context window space, and dilute the signal the model needs. Context precision is evaluated by labeling each retrieved passage as relevant or not and computing precision at the chosen top-K cutoff.