Gptcache
Gptcache
Cache large language model responses
- Use Cases
- AI Cost Optimization Semantic Caching
Overview
Gptcache is a library for creating semantic cache for large language model queries, reducing API costs and boosting speed
Gptcache has been fully integrated with LangChain and has a released server docker image, allowing any language to use it
Details
What is Gptcache?
Gptcache is a project dedicated to building a semantic cache for storing large language model responses, helping reduce expenses and improve response times. It is designed to work with large language models like ChatGPT
What are the key features of Gptcache?
Creates a semantic cache for large language model queries
Reduces LLM API costs by up to 10x
Boosts speed by up to 100x
Supports exact and similar matching with caching
Who is Gptcache best for?
Developers working with large language models
Applications with high traffic levels and frequent LLM API calls
Those looking to reduce LLM API costs and improve response times
What integrations and ecosystem support does Gptcache offer?
LangChain
OpenAI API
What are the pros and limitations of Gptcache?
Pros: Reduces expenses related to LLM API calls; Improves response times for LLM queries; Easy to install and use, with a simple example usage provided
Limitations: The API may be subject to change at any time due to swift development
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