#Semantic Cache

GPTCache lowers LLM API expenses by up to 10 times and increases response speed by 100 times through semantic caching. It integrates seamlessly with LangChain and supports multiple languages, ensuring improved functionality and adaptability. This library addresses challenges posed by high API call costs and slow response times, enabling efficient application scaling. By using GPTCache, developers can benefit from reduced costs, faster performance, and a flexible development environment, providing an option for optimizing LLM-based applications.

ModelCache is an open-source project that uses semantic caching to reduce response times and improve scalability of large language models. The project helps optimize inference costs by reusing pre-computed results and supports integration with LLM embedding frameworks. Key features include multi-tenancy, local storage options, and flexible database management. It also provides quick deployment scripts and RESTful API access for efficient cache management, alongside advanced data isolation and system command capabilities.