Text embedder
Defines an Azure OpenAI text embedder.
Example 
This flow processes a user's chat question by first receiving it through a Chat completion trigger, then converting it into a vector using a text embedder, performing a Vector search in a postgreSQL database for relevant context, and finally passing the user input and retrieved context to Azure OpenAI Chat completion, which generates a response that is returned to the client via the Return node.
Properties
| Name | Type | Description |
|---|---|---|
| Title | Optional | The title of the action. |
| Connection | Required | Defines the connection to Azure OpenAI. |
| Deployment Name | Required | Specifies the model deployment name, which corresponds to the custom name chosen during model deployment in the Azure portal or in Azure AI Foundry. In the Azure Portal, the deployment name can be found under Resource Management > Model Deployments. |
| Dimensions | Optional | Specifies the number of dimensions to be used. |
| Result variable name | Required | Defines the variable name in which the result will be stored. TextEmbedder . |
| Description | Optional | A field to add additional details or notes about the action. |
Returns
TextEmbedder – The output of this node, containing the AzureOpenAITextEmbedder object generated by this node.