Unverified50% confidenceFactExact time
Top-K retrieval refers to returning the top K chunks with the highest similarity during the retrieval stage, and K is usually taken from 3 to 10.
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50%
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Long-term
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10/16/2026
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Related Claims
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.78% similarUnverifiedRecall@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'.74% 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% similarUnverifiedMoE routers typically employ a Top-K mechanism that selects only the K highest-scoring experts for each token, with K=2 being a common configuration.70% similarUnverifiedK折交叉验证的K通常取5或10，这在偏差-方差权衡上被实证为较优选择70% similar
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