Text embedder

Defines an 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 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 OpenAI.
Embedding model	Required	Name (id) of the chosen Embedding Model.
Description	Optional	Additional information or notes about the text embedder.