In this practical demonstration I worked on, I took time to explain what caching means and how to use it with an LLM provider.
Caching optimises interactions with LLMs by reducing API calls and speeding up applications, resulting in a more efficient user experience. The whole essence of using caching is to save costs when hitting the API calls for response thereby producing faster responses without delay.
Would you be trying out caching in your next project when using LangChain to cache LLM responses in LangChain?