> ## Documentation Index
> Fetch the complete documentation index at: https://nvd-54.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Cache 集成

> 使用 LangChain JavaScript 集成 caches。

[Caching LLM calls](/oss/javascript/langchain/models#prompt-caching) can be useful for testing, cost savings, and speed.

Below are some integrations that allow you to cache results of individual LLM calls using different caches with different strategies.

<Columns cols={3}>
  <Card title="Azure Cosmos DB NoSQL Semantic Cache" icon="link" href="/oss/javascript/integrations/llm_caching/azure_cosmosdb_nosql" arrow="true" cta="查看指南" />
</Columns>

***

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    [将这些文档连接到](/use-these-docs) Claude、VSCode 等工具，通过 MCP 获取实时答案。
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  <Callout icon="edit">
    [在 GitHub 上编辑此页面](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/llm_caching/index.mdx) 或 [提交 issue](https://github.com/langchain-ai/docs/issues/new/choose)。
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