Implementing Semantic Caching: A Step-by-Step Guide to Faster, Cost-Effective GenAI Workflows

A critical term that often appears in generative AI and LLM discussions, especially when the topic of optimization comes up, is ‘Semantic Caching’. Despite the existence of open frameworks like GPT Cache, LangChain, etc., this concept requires attention. For developers working with Language Models, latency and cost present significant challenges. High latency can harm the user experience, while rising costs can impede scalability.