Unverified50% confidenceConceptExact time
Recall@K refers to the proportion of relevant documents contained in the top K returned results, with K usually taken as 5, 10 or 20, used to measure whether a retrieval system 'found what should have been found'.
1
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50%
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Long-term
Relevance
10/14/2026
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UnverifiedThe value of K in Top-K should be determined through offline evaluation by measuring Recall@K at different K values on an annotated test set and finding the inflection point where the recall curve begins to flatten.77% similarUnverifiedThe K value for Top-K precomputation typically falls between 5 and 20, aligned with the number of suggestions displayed in the user interface, and the index size grows linearly with K.74% similarUnverifiedRecall@K measures whether relevant documents appear in the top K results, while MRR measures the ranking position of the first relevant result.69% similarUnverifiedHit rate@k is defined as: as long as at least one expected text chunk appears in the Top-K results it is recorded as 1, otherwise as 0, averaged over all questions.66% similarUnverifiedThe retrieval quality metrics reported by Truvec include Hit rate, Recall@k, Precision@k, MRR, nDCG@k, and F1@k, with a default Top-K of 5 and support for 1 to 50.66% similar
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