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Copy file name to clipboardExpand all lines: content/develop/ai/langcache/_index.md
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Redis LangCache is a fully-managed semantic caching service that reduces large language model (LLM) costs and improves response times for AI applications.
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Redis LangCache is a fully-managed semantic caching service that reduces large language model (LLM) costs and improves response times for AI applications.
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[Get started](#get-started) with LangCache on [Redis Cloud]({{< relref "/operate/rc/langcache" >}}) or join the [private preview](https://redis.io/langcache/).
Copy file name to clipboardExpand all lines: content/operate/rc/langcache/use-langcache.md
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You can use the LangCache API from your client app to store and retrieve LLM, RAG, or agent responses.
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You can use the [LangCache API and SDK]({{< relref "/develop/ai/langcache/api-examples" >}}) from your client app to store and retrieve LLM, RAG, or agent responses.
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To access the LangCache API, you need:
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When you call the API, you need to pass the LangCache API key in the `Authorization` header as a Bearer token and the Cache ID as the `cacheId` path parameter.
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See the [LangCache API reference]({{< relref "/develop/ai/langcache/api-reference" >}}) for more information on how to use the LangCache API.
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See the [LangCache API and SDK examples]({{< relref "/develop/ai/langcache/api-examples" >}}) for more information on how to use the LangCache API.
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