Why it matters

Semantic caching cuts cost + latency. Understanding shapes ops.

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The architecture

Embed query.

Search vector DB for near.

Return cached if similar enough.

Semantic cache flowQueryuser inputEmbed + searchvector DBCache hit or LLMbased on similarityThreshold tuning + freshness policy matter; can cause user confusion
Semantic cache.
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How it works end to end

Threshold: cosine similarity > 0.95 typical.

GPTCache library.

Freshness: TTL + invalidation.

User surprise if too loose.