---
title: Embeddings Azure OpenAI node documentation
description: Learn how to use the Embeddings Azure OpenAI node in n8n. Follow technical documentation to integrate Embeddings Azure OpenAI node into your workflows.
contentType: [integration, reference]
---

# Embeddings Azure OpenAI node

Use the Embeddings Azure OpenAI node to generate [embeddings](/08-0-0-Workflow/glossary.md#ai-embedding) for a given text.

On this page, you'll find the node parameters for the Embeddings Azure OpenAI node, and links to more resources.

```{note} Credentials
You can find authentication information for this node [here](/08-0-0-Workflow/integrations/builtin/credentials/azureopenai.md).
```

```{include} ../../../../../_snippets/integrations/builtin/cluster-nodes/sub-node-expression-resolution.md

```


## Node options

* **Model (Deployment) Name**: Select the model (deployment) to use for generating embeddings.
* **Batch Size**: Enter the maximum number of documents to send in each request.
* **Strip New Lines**: Select whether to remove new line characters from input text (turned on) or not (turned off). n8n enables this by default.
* **Timeout**: Enter the maximum amount of time a request can take in seconds. Set to `-1` for no timeout.

## Templates and examples
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## Related resources

Refer to [LangChains's OpenAI embeddings documentation](https://js.langchain.com/docs/integrations/text_embedding/azure_openai/) for more information about the service.

```{include} ../../../../../_snippets/integrations/builtin/cluster-nodes/langchain-overview-link.md

```