Embedding

Introduction

OpenAI’s embedding models convert text into dense vector representations for various NLP tasks. See the OpenAI Embeddings API for more information.

Prerequisite

Create OpenAI resources:

• OpenAI

  Sign up account OpenAI website Login and Find personal API key

• Azure OpenAI (AOAI)

  Create Azure OpenAI resources with instruction

Connections

Setup connections to provide resources in embedding tool.

Type	Name	API KEY	API Type	API Version
OpenAI	Required	Required	-	-
AzureOpenAI	Required	Required	Required	Required

Inputs

Name	Type	Description	Required
input	string	the input text to embed	Yes
connection	string	the connection for the embedding tool use to provide resources	Yes
model/deployment_name	string	instance of the text-embedding engine to use. Fill in model name if you use OpenAI connection, or deployment name if use Azure OpenAI connection.	Yes

Outputs

Return Type	Description
list	The vector representations for inputs

The following is an example response returned by the embedding tool:

Output

[-0.005744616035372019,
-0.007096089422702789,
-0.00563855143263936,
-0.005272455979138613,
-0.02355326898396015,
0.03955197334289551,
-0.014260607771575451,
-0.011810848489403725,
-0.023170066997408867,
-0.014739611186087132,
...]