Unverified50% confidenceSolutionExact time
语义缓存通过计算请求嵌入向量的余弦相似度(阈值通常0.9-0.95)来复用历史结果,在重复查询占比高的场景缓存命中率可达30%-50%
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
Unverified语义缓存命中判断通常设置预设相似度阈值(例如0.9),超过则直接返回缓存答案跳过LLM调用79% 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 costs76% 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66% similarUnverified缓存命中的前提是提示词内容保持稳定,若系统提示词中包含动态插入的时间戳、会话ID或随机内容则会造成缓存失效65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/542600API
curl https://kongchang.com/api/v1/knowledge/claims/542600MCP
get_claim(id=542600)