About GPTCache
GPTCache is a library for creating a semantic cache for large language model (LLM) queries. It aims to reduce API costs by up to 10x and boost response speed by up to 100x by caching LLM responses. The library supports both exact and similar (semantic) matching, and is fully integrated with LangChain and llama_index. It provides a simple get/set API, can be run as a Docker server, and automatically installs dependencies for additional features. Developed by zilliztech, GPTCache is open source and designed for high-traffic LLM applications.
Key Features
Semantic caching for LLM queries with both exact and similar matching
Fully integrated with LangChain and llama_index
Reduces LLM API costs by up to 10x
Boosts response speed by up to 100x
Docker image available for server deployment
Simple get/set API for easy integration
Automatic installation of dependencies for optional features
Supports Python 3.8.1 and above
Pros & Cons
Pros
- Free and open source
- Significantly reduces API costs and latency
- Easy integration with popular LLM frameworks (LangChain, llama_index)
- Supports both exact and semantic matching for flexibility
- Docker support makes deployment language-agnostic
- Active development with examples and bootcamp
Cons
- API is subject to change during rapid development
- By default only basic caching functionalities are installed; extra features require manual dependency installation
- Requires Python 3.8.1 or higher
- Limited to caching LLM queries; not a general-purpose cache
Best For
Caching responses for high-traffic LLM applications to reduce API costsSpeeding up LLM-powered chatbots and virtual assistantsSemantic caching in RAG (Retrieval-Augmented Generation) pipelinesCaching for LangChain-based workflowsCaching for llama_index-based applications
FAQ
What is GPTCache?
GPTCache is a library for creating a semantic cache for LLM queries, reducing API costs and improving response speed by caching responses.
How does GPTCache reduce costs?
By caching responses from LLM API calls, it avoids redundant requests, potentially reducing costs by up to 10x.
Does GPTCache support LangChain?
Yes, GPTCache is fully integrated with LangChain. Detailed usage instructions are provided in the documentation.
How do I install GPTCache?
You can install it via pip: 'pip install gptcache'. For development, clone the repo and run 'python setup.py install'.
Can I use GPTCache with other programming languages?
Yes, a Docker image is available, allowing GPTCache to be used as a server with any language.