> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-lsapi-1779323176-451247e.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Tencent cos file integration

> Integrate with the Tencent cos file document loader using LangChain Python.

> [Tencent Cloud Object Storage (COS)](https://www.tencentcloud.com/products/cos) is a distributed
> storage service that enables you to store any amount of data from anywhere via HTTP/HTTPS protocols.
> `COS` has no restrictions on data structure or format. It also has no bucket size limit and
> partition management, making it suitable for virtually any use case, such as data delivery,
> data processing, and data lakes. `COS` provides a web-based console, multi-language SDKs and APIs,
> command line tool, and graphical tools. It works well with Amazon S3 APIs, allowing you to quickly
> access community tools and plugins.

This covers how to load document object from a `Tencent COS File`.

```python theme={null}
pip install -qU  cos-python-sdk-v5
```

```python theme={null}
from langchain_community.document_loaders import TencentCOSFileLoader
from qcloud_cos import CosConfig
```

```python theme={null}
conf = CosConfig(
    Region="your cos region",
    SecretId="your cos secret_id",
    SecretKey="your cos secret_key",
)
loader = TencentCOSFileLoader(conf=conf, bucket="you_cos_bucket", key="fake.docx")
```

```python theme={null}
loader.load()
```

***

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