## Tencent

> [Tencent Holdings Ltd. (Wikipedia)](https://en.wikipedia.org/wiki/Tencent) (Chinese: 腾讯; pinyin: Téngxùn) is a Chinese multinational technology conglomerate and holding company headquartered in Shenzhen. `Tencent` is one of the highest grossing multimedia companies in the world based on revenue. It is also the world's largest company in the video game industry based on its equity investments.

## Chat model[​](#chat-model "Direct link to Chat model")

> [Tencent's hybrid model API](https://cloud.tencent.com/document/product/1729) (`Hunyuan API`) implements dialogue communication, content generation, analysis and understanding, and can be widely used in various scenarios such as intelligent customer service, intelligent marketing, role playing, advertising, copyrighting, product description, script creation, resume generation, article writing, code generation, data analysis, and content analysis.

For more information, see [this notebook](https://python.langchain.com/docs/integrations/chat/tencent_hunyuan/)

```
from langchain_community.chat_models import ChatHunyuan
```

## Document Loaders[​](#document-loaders "Direct link to Document Loaders")

### Tencent COS[​](#tencent-cos "Direct link to Tencent COS")

> [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.

Install the Python SDK:

```
pip install cos-python-sdk-v5
```

#### Tencent COS Directory[​](#tencent-cos-directory "Direct link to Tencent COS Directory")

For more information, see [this notebook](https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_directory/)

```
from langchain_community.document_loaders import TencentCOSDirectoryLoaderfrom qcloud_cos import CosConfig
```

#### Tencent COS File[​](#tencent-cos-file "Direct link to Tencent COS File")

For more information, see [this notebook](https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_file/)

```
from langchain_community.document_loaders import TencentCOSFileLoaderfrom qcloud_cos import CosConfig
```

## Vector Store[​](#vector-store "Direct link to Vector Store")

### Tencent VectorDB[​](#tencent-vectordb "Direct link to Tencent VectorDB")

> [Tencent Cloud VectorDB](https://www.tencentcloud.com/products/vdb) is a fully managed, self-developed enterprise-level distributed database service dedicated to storing, retrieving, and analyzing multidimensional vector data. The database supports a variety of index types and similarity calculation methods, and a single index supports 1 billion vectors, millions of QPS, and millisecond query latency. `Tencent Cloud Vector Database` can not only provide an external knowledge base for large models and improve the accuracy of large models' answers, but also be widely used in AI fields such as recommendation systems, NLP services, computer vision, and intelligent customer service.

Install the Python SDK:

For more information, see [this notebook](https://python.langchain.com/docs/integrations/vectorstores/tencentvectordb/)

```
from langchain_community.vectorstores import TencentVectorDB
```

## Chat loader[​](#chat-loader "Direct link to Chat loader")

### WeChat[​](#wechat "Direct link to WeChat")

> [WeChat](https://www.wechat.com/) or `Weixin` in Chinese is a Chinese instant messaging, social media, and mobile payment app developed by `Tencent`.

See a [usage example](https://python.langchain.com/docs/integrations/chat_loaders/wechat/).