AppliedAIPrep logoAppliedAI/Prep
← System Design for AI in Production / 62
hardOpenAIPerplexityAnthropic

Design a semantic cache for LLM responses that cuts cost and latency without serving stale or wrong answers.

Exact-match caching barely helps when no two prompts are identical. Semantic caching reuses answers for similar queries, and its whole risk is returning a near-match that's subtly wrong. Here is how to build it safely.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Exact-match caching barely helps when no two prompts are identical. Semantic caching reuses answers for similar queries, and its whole risk is returning a near-match that's subtly wrong. Here is how to build it safely.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackDesign a multi-region, highly available LLM serving platform with failover and bounded cost.Next in this trackDesign a system to run LLM inference over a billion documents offline, as cheaply as possible.Next in this trackDesign an internal evaluation platform that lets teams measure and compare LLM features reliably.
DISCUSSION · 0

No comments yet — be the first to share your approach.