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Use fully-managed semantic caching to make managing app performance and costs easier than ever.
LangCache uses semantic caching to store and reuse previous LLM responses for repeated queries.
Instead of calling the LLM again for every request, LangCache checks if a similar response has already been cached and returns it instantly, saving time and money.
Sign up now to join the private preview.
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Use LangCache to optimize chatbots and agents with decreased costs and faster responses.
Agents and multi-step chains of reasoning take longer and cost more due to multiple LLM calls. Improve performance with our semantic caching-as-a-service.
For companies building centralized services to manage and control LLM costs and security, LangCache is a key component for fast and efficient AI gateways.
Register to join our private preview.
The private preview is open to devs, product teams, and orgs working on GenAI apps including RAG pipelines or agents. Participants should have relevant use cases and be willing to provide feedback to help shape the product.
No, participation in the private preview is free. However, there may be usage limits or specific terms of use during the preview phase. When the private preview ends, accounts will be migrated to paying accounts.
LangCache is a fully-managed service available through a REST API interface and can be used with any language. No database management is needed.
Your data is stored on your Redis servers. Redis doesn’t have access to your data nor do we use your data to train AI models.
You’ll receive dedicated onboarding resources with docs, email, and chat support for troubleshooting, as well as regular check-ins with the product team for feedback and issue resolution.
Participants will receive exclusive updates on the product roadmap during the private preview. Additionally, roadmap insights may be shared during feedback sessions or other communications throughout the preview.
