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LLM Apps in Production (RAG + Vector DB + Caching) · Lesson

Semantic Caching for LLM Apps

Go beyond exact-match caching by caching on meaning, so semantically similar questions reuse a stored answer, cutting cost and latency for paraphrased queries.

The Limit of Exact Caching

A standard cache keys on the exact prompt string. But what is your refund policy? and how do refunds work? mean the same thing — yet an exact cache treats them as different and pays for both.

What Is Semantic Caching?

Semantic caching keys on the meaning of a query, not its exact text. If a new question is similar enough to a cached one, it returns the stored answer — no LLM call.

All lessons in this course

  1. The Importance of Caching LLM Calls
  2. In-Memory and External Caching Strategies
  3. Integrating Caching into a RAG Pipeline
  4. Semantic Caching for LLM Apps
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