NLP & Language · intermediate · concept 141 of 311 · Updated Nov 4, 2026

🗄️Semantic Caching

Semantic caching stores a model's answer next to an embedding of the question, then serves that stored answer when a new question lands within a similarity threshold, not only on an exact text match. It matters because users repeat the same questions in different words, and every avoided model call saves money and seconds. Example: a support bot asked "how do I reset my password" and later "password reset steps" returns one cached answer.