GPTCache : A Library for Creating Semantic Cache for LLM Queries — GPTCache
🚀 Discover GPTCache: The ultimate tool for optimizing LLM queries! 🤖✨ - Boost query performance - Enhance scalability - Reduce expenses - Encourage contribution & customization Learn more: https://gptcache.readthedocs.io/en/latest/ #AI #LLM #SemanticCache #DeveloperTools
- GPTCache is a project aimed at reducing expenses and improving performance for handling Large Language Model (LLM) queries.
- It provides semantic caching to store LLM responses and enhance query throughput.
- GPTCache allows developers to build and test applications without constantly connecting to LLM services.
- It offers scalability to handle increased queries and prevent service outages.
- GPTCache utilizes semantic caching to improve cache hit rates by storing similar or related queries.
- The system employs embedding algorithms and vector stores for efficient similarity search and query retrieval.
- Modules like LLM Adapter, Multimodal Adapter, Embedding Generator, Cache Storage, and Vector Store enable customization and flexibility.
- GPTCache includes features like Hit Ratio, Latency, and Recall to help developers optimize their caching systems.
- Contribution to GPTCache is encouraged for new features, infrastructure enhancements, and improved documentation.