GPTCache, LangChain, Strong Alliance

The GPTCache project aims to build a semantic cache for storing large language model (LLM) responses, addressing the challenges of increasing costs and slow response times associated with high traffic levels. LangChain is a library that assists in developing applications combining LLMs with other computational or knowledge sources. Before integrating GPTCache, LangChain's cache was based on string matching, including Memory Cache, SQLite Cache, and Redis Cache. The current condition for hitting the cache requires identical questions, which has limited cache utilization rate. Integration of GPTCache significantly improves cache functionality by performing embedding operations to obtain vectors and conducting vector approximation searches in cache storage. This increases the cache hit rate, reduces LLM usage costs, and speeds up response times.