Unverified50% confidenceFactExact time
The exact-match cache returns stored results only when a normalized question exactly matches one that has already been answered; unlike semantic caching, it introduces no embedding model cost or misjudgment risk.
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50%
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10/15/2026
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UnverifiedIntroducing fuzzy semantic matching at the caching layer is essentially trading accuracy for performance, and may return incorrect answers that the user did not request.74% similarVerifiedThe semantic caching mechanism vectorizes and stores historical responses to similar requests, and when semantic similarity exceeds a threshold, it directly returns cached results to reduce upstream API call frequency and costs70% similarUnverifiedEven when the model is explicitly required to answer only based on retrieved documents, it still fills in gaps using parametric memory and generates seemingly well-formatted citations.69% similarUnverified语义缓存的缓存失效比传统缓存更复杂,因为语义匹配边界模糊,旧答案可能在某阈值下仍被命中68% similarUnverifiedThis benchmark uses deterministic token similarity comparison for scoring, with reference answers stored only on the server side and never shown to models.68% similar
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