LANGCACHEFaster AI apps. Lower LLM costs.
Save 90% on API costs and shorten response times with intelligent, Redis-based semantic caching for AI.
How it works
Simple deployment
Store and reuse previous LLM responses for repeated queries with fully-managed semantic caching via a REST API. Don’t build your own solution. Just use ours.
Fewer costly LLM calls
Chatbots get asked the same questions over and over again, and agents use 4x more tokens than chat. Skip the extra calls with LangCache.
More accurate results
Advanced cache management lets you control data access and privacy, eviction protocols, and more for fine-tuned embedding models that perform better.
Fully-managed semantic caching
Instead of calling your LLM for every request, LangCache checks if a similar response has already been made and, if so, returns it instantly from cache to save time and money.
The key features
Our benchmark-leading vector database means you get accurate response exactly when you need them.
Access LangCache via a REST API that works with any language and requires no database management.
Use default models or bring your own vector tool for the embeddings you want.
Auto-optimize settings for precision and recall so you get better results the more you search.
Get started
Speak to a Redis expert and learn more about enterprise-grade Redis today.