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

# NAVER

All functionality related to `Naver`, including HyperCLOVA X models, particularly those accessible through `Naver Cloud` [CLOVA Studio](https://clovastudio.ncloud.com/).

> [Naver](https://navercorp.com/) is a global technology company with cutting-edge technologies and a diverse business portfolio including search, commerce, fintech, content, cloud, and AI.

> [Naver Cloud](https://www.navercloudcorp.com/lang/en/) is the cloud computing arm of Naver, a leading cloud service provider offering a comprehensive suite of cloud services to businesses through its [Naver Cloud Platform (NCP)](https://www.ncloud.com/).

Please refer to [NCP User Guide](https://guide.ncloud-docs.com/docs/clovastudio-overview) for more detailed instructions (also in Korean).

## Installation and Setup

* Get a CLOVA Studio API Key by [issuing it](https://api.ncloud-docs.com/docs/ai-naver-clovastudio-summary#API%ED%82%A4) and set it as an environment variable (`CLOVASTUDIO_API_KEY`).

Naver integrations live in two packages:

* `langchain-naver`: a dedicated integration package for Naver.
* `langchain-naver-community`: a community-maintained package and is not officially maintained by Naver or LangChain.

<CodeGroup>
  ```bash pip theme={null}
  pip install -U langchain-naver
  # pip install -U langchain-naver-community // Install to use Naver Search tool.
  ```

  ```bash uv theme={null}
  uv add langchain-naver
  # uv add langchain-naver-community // Install to use Naver Search tool.
  ```
</CodeGroup>

> **(Note)** Naver integration via `langchain-community`, a collection of [third-party integrations](https://python.langchain.com/docs/concepts/architecture/#langchain-community), is outdated.
>
> * **Use `langchain-naver` instead as new features should only be implemented via this package**.
> * If you are using `langchain-community` (outdated) and got a legacy API Key (that doesn't start with `nv-*` prefix), you should set it as `NCP_CLOVASTUDIO_API_KEY`, and might need to get an additional API Gateway API Key by [creating your app](https://guide.ncloud-docs.com/docs/en/clovastudio-playground01#create-test-app) and set it as `NCP_APIGW_API_KEY`.

## Chat models

### ChatClovaX

See a [usage example](/oss/python/integrations/chat/naver).

```python theme={null}
from langchain_naver import ChatClovaX
```

## Embedding models

### ClovaXEmbeddings

See a [usage example](/oss/python/integrations/text_embedding/naver).

```python theme={null}
from langchain_naver import ClovaXEmbeddings
```

## Tools

### Naver Search

The Naver Search integration allows your LangChain applications to retrieve information from Naver's search engine. This is particularly useful for Korean language queries and getting up-to-date information about Korean topics.

To use the Naver Search tools, you need to:

1. Sign in to the [Naver Developers portal](https://developers.naver.com/main/)
2. Create a new application and enable the Search API
3. Obtain your **NAVER\_CLIENT\_ID** and **NAVER\_CLIENT\_SECRET** from the "Application List" section
4. Set these as environment variables in your application

```python theme={null}
from langchain_naver_community.tool import NaverSearchResults
from langchain_naver_community.utils import NaverSearchAPIWrapper

# Set up the search wrapper
search = NaverSearchAPIWrapper()

# Create a tool
tool = NaverSearchResults(api_wrapper=search)
```

See a [usage example](/oss/python/integrations/tools/naver_search) for more details.

### Specialized Search Tools

The package also provides specialized search tools for different types of content:

```python theme={null}
from langchain_naver_community.tool import NaverNewsSearch  # For news articles
from langchain_naver_community.tool import NaverBlogSearch  # For blog posts
from langchain_naver_community.tool import NaverImageSearch  # For images
```

Each of these can be used within LangChain agents to provide more targeted search capabilities.