OpenAI Embedding

Objective 3Sixty supports creating Embeddings by using OpenAI Embeddings Task. Embeddings can be used to enable Clustering, Semantic Search and many other NLP tasks. The Objective OpenAI Embedding task can be used by any "OpenAI Like" servers and not just OpenAI. That is to say, any server providing an interface similar to that of OpenAI can be used with this task.

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Configuration

To use this task go to the task tab in your job. Select the task from the drop down and click the plus circle to configure the task. Click done after making any changes to save.

To create Embeddings, the following parameters must be provided.

Condition check

It will execute the task when the condition's result is 'true', 't', 'on', '1', or 'yes' (case-insensitive), or run on all conditions if left empty. This condition is evaluated for each document, determining whether the task should be executed based on the specified values.

Example: If I only want to run this task for PDF documents I would use the expression: equals('#{rd.mimetype}',"application/pdf")

Server

An OpenAI Like server that supports Embeddings

API Key

If the server requires a key, it must be provided

Model

If the server requires a model name (in case of servers supporting many models) it must be provided

Input

The text we want to extract embeddings from (must be a 3Sixty expression language)

Timeout

Server timeout in seconds

Result Field

Result field containing the embeddings to be added to the document

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Examples

Here is an example of using this task:

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API Keys

Processors: openAiEmbeddingTask

Key	Display Name	Type
use_condition	Check a condition before executing this task.	Boolean
task_condition	Condition	String
task_stop_proc	Stop Processing	Boolean
open_ai_server	Server	String
open_ai_api_key	API Key	String
open_ai_model	Model	String
open_ai_timeout	Timeout	INTEGER
open_ai_input	Input	String
open_ai_result	Result Field	String

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