Azure OpenAI text embedding generator

Defines an Azure OpenAI text embedding generator.

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 embedding generator, 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.
Result variable name	Required	Defines the variable name in which the result will be stored.
Description	Optional	A field to add additional details or notes about the action.