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

In-Memory and External Caching Strategies

Compare different caching approaches, including simple in-memory caches and robust external solutions like Redis.

Intro to Caching Strategies

Caching is vital for making LLM applications faster and more cost-effective. But not all caches are built the same!

In this lesson, we'll dive into two primary strategies: in-memory caching and external caching. Each has unique benefits and drawbacks depending on your application's needs.

In-Memory Caching: The Basics

In-memory caching means storing data directly within your application's Random Access Memory (RAM). Think of it like a temporary notepad your app keeps handy.

  • Speed: Accessing data from RAM is incredibly fast.
  • Simplicity: Often easy to set up, using built-in language features (like dictionaries or hash maps).
  • No External Dependencies: Your app doesn't need to connect to another service.

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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