CAG

Table of Contents Introduction What is Cache-Augmented Generation? Why CAG Matters CAG vs RAG: A Detailed Comparison How Caching Works in LLMs Conceptual Implementation Practical Implementation Example Common Pitfalls and Solutions Cache Invalidation Strategies Production Best Practices Top 10 Learning Resources Introduction Large Language Models (LLMs) have revolutionized how we build intelligent applications, but they come with a critical challenge: latency and cost. Every query requires processing tokens, which translates to computational overhead and API expenses. Cache-Augmented Generation (CAG) represents a paradigm shift in how we augment LLMs with knowledge, offering a faster, more efficient alternative to traditional retrieval-based approaches. ...