LMCache: High-Performance Redis Cache for Large Language Models

Summary

This project provides a dedicated caching solution for Large Language Models, leveraging the speed and scalability of Redis. It implements semantic caching to intelligently store and retrieve LLM responses, thereby reducing latency and API expenses.

Problem Solved

Interacting with Large Language Models often involves high latency and significant costs, especially with frequent or repetitive queries. Existing general-purpose caches are not optimized for the semantic nature of LLM inputs and outputs.

Core Features

Tech Stack