Partially Verified65% confidenceFactExact time
The Recall@k metric is defined as the proportion of the top k results that contain known relevant documents.
3
Sources
65%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRecall@k is defined as: the number of expected text chunks that were retrieved divided by the total number of expected text chunks.79% similarUnverifiedThe core metrics for evaluating vector indexes include recall (Recall@k), P99 latency, QPS (throughput), index build time and memory.68% similarUnverifiedThe recency effect refers to information at the end of a sequence being more easily remembered.58% similar
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