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

# AWS 集成

> 使用 LangChain JavaScript 与 AWS 集成。

所有与 [Amazon AWS](https://aws.amazon.com/) 平台相关的功能。

## 聊天模型

### Bedrock

查看[使用示例](/oss/javascript/integrations/chat/bedrock)。

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { BedrockChat } from "@langchain/community/chat_models/bedrock";
```

## 大语言模型

### Bedrock

查看[使用示例](/oss/javascript/integrations/llms/bedrock)。

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { Bedrock } from "@langchain/community/llms/bedrock";
```

### SageMaker 端点

> [Amazon SageMaker](https://aws.amazon.com/sagemaker/) 是一个系统，可以通过完全托管的基础设施、工具和工作流程来构建、训练和部署机器学习（ML）模型。

我们使用 `SageMaker` 来托管我们的模型，并将其作为 `SageMaker 端点` 暴露出来。

查看[使用示例](/oss/javascript/integrations/llms/aws_sagemaker)。

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import {
  SagemakerEndpoint,
  SageMakerLLMContentHandler,
} from "@langchain/community/llms/sagemaker_endpoint";
```

## 文本嵌入模型

### Bedrock

查看[使用示例](/oss/javascript/integrations/embeddings/bedrock)。

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { BedrockEmbeddings } from "@langchain/aws";
```

## 文档加载器

### AWS S3 目录和文件

> [Amazon Simple Storage Service (Amazon S3)](https://docs.aws.amazon.com/AmazonS3/latest/userguide/using-folders.html) 是一种对象存储服务。
> [AWS S3 目录](https://docs.aws.amazon.com/AmazonS3/latest/userguide/using-folders.html) >[AWS S3 存储桶](https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingBucket.html)

查看 [S3FileLoader 的使用示例](/oss/javascript/integrations/document_loaders/web_loaders/s3)。

```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
npm install @aws-sdk/client-s3
```

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { S3Loader } from "@langchain/community/document_loaders/web/s3";
```

***

<div className="source-links">
  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/i18n\zh-CN\oss\javascript\integrations\providers\aws.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>

  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>
</div>