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Explore the semantic caching questions that connect these guides.
A semantic match can identify a candidate for reuse, but similarity does not establish that the old answer is suitable. Different dates, entities, permissions, and source versions can require a fresh result. This collection treats approximate matching as a policy to evaluate.
Build an evaluation set that includes misleadingly similar questions as well as safe repeats. When the model or embedding system changes, distinguish rebuilding the lookup representation from refreshing the underlying answer. The featured article follows that distinction through a migration and explains why version boundaries matter.
A similar question can still require a different answer. Learn which changes invalidate semantic cache entries and how to migrate without silently reusing incompatible results.
Read the articleStart with the AI Cache Index guide to place the terminology in context. Then explore Cache Index LLM for a connected design question.
A topic can cross several systems. Browse the complete Lab for the surrounding articles, or use the 22-topic directory to find a different entry point.