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

# AWS S3 文件集成

> 使用 LangChain Python 与 AWS S3 文件文档加载器集成。

> [Amazon Simple Storage Service (Amazon S3)](https://docs.aws.amazon.com/AmazonS3/latest/userguide/using-folders.html) 是一项对象存储服务。

> [AWS S3 存储桶](https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingBucket.html)

本文介绍如何从 `AWS S3 File` 对象加载文档对象。

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_community.document_loaders import S3FileLoader
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
pip install -qU  boto3
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
loader = S3FileLoader("testing-hwc", "fake.docx")
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
loader.load()
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 's3://testing-hwc/fake.docx'}, lookup_index=0)]
```

## 配置 AWS Boto3 客户端

您可以通过在创建 S3DirectoryLoader 时传递命名参数来配置 AWS [Boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html) 客户端。
这在无法将 AWS 凭证设置为环境变量时非常有用。
请参阅可配置的[参数列表](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html#boto3.session.Session)。

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
loader = S3FileLoader(
    "testing-hwc", "fake.docx", aws_access_key_id="xxxx", aws_secret_access_key="yyyy"
)
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
loader.load()
```

***

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    [将这些文档连接](/use-these-docs)到 Claude、VSCode 等，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/python/integrations/document_loaders/aws_s3_file.mdx) 或 [提交问题](https://github.com/langchain-ai/docs/issues/new/choose)。
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