If you're looking for a way to improve the performance of your large language model (LLM) application while reducing costs, consider utilizing a semantic cache to store LLM responses. By caching LLM responses, you can significantly reduce retrieval times, lower API call expenses, and enhance scalability. Additionally, you can customize and monitor the cache's performance to optimize it for greater efficiency.
That's excting! would loved to have understood the performance tradefoffs present here especially for free flowing texts as inputs