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Semantic Caching for LLMs: How to Stop Paying for the Same Answer Twice

This story is from 2026-10-28. It is preserved in the archive; the latest stories are on the live feed.

Semantic caching stores LLM responses and serves a stored answer when a new request means the same thing as an earlier one, even if the wording differs. It works by turning each request into an embedding (a vector that represents its meaning), searching a vector store for a previous request whose e…

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  1. 2026-10-28 20:30 · DEV Community — AI
    Semantic Caching for LLMs: How to Stop Paying for the Same Answer Twice

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