Why it matters

Semantic caching cuts cost for repetitive queries. Understanding shapes cost-efficient serving.

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The architecture

Embed query. Look up similar past queries in vector index.

If close match, return cached response.

Semantic cache flowEmbed queryvector representationVector searchsimilarity thresholdCache hit / call LLMreturn cached or newThreshold determines quality-cost trade-off; tune per use case
Semantic caching.
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How it works end to end

Threshold: too high = miss legitimate hits; too low = wrong cached responses.

Storage: vector DB (Pinecone, pgvector) for embeddings.

Invalidation: cache expiration; source-of-truth changes.