---
sourceDocument: Xanadu ServiceNow AI Platform Administration
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/xanadu/platform-administration

 Release :

    - xanadu

ft:locale :

    - en-US

ft:publication_title :

    - Xanadu ServiceNow AI Platform Administration

ft:clusterId :

    - platadm

bundleId :

    - platadm

workflow :

    - Platform


---

# Create a custom embedding model

# Create a custom embedding model {#ariaid-title1}

* Release version: Xanadu
* 
* Updated July 31, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

Create a custom embedding model in the Generative AI Model Configuration \[sys_generative_ai_model_config\] table so that your AI Search
Retrieval Augmented Generation (RAG) application can use it to generate embeddings for semantic indexing. This setup ensures that the model is recognized and properly connected to send and receive
requests.

## Before you begin

You must create a connection and credential alias for your embedding model. For more information, see [Create a Connection \& Credential alias](https://www.servicenow.com/docs/access?context=connection-alias&version=xanadu&pubname=xanadu-platform-security&ft:locale=en-US)

Role required: admin

## Procedure

1. Navigate to All, and then enter <kbd class="ph userinput">sys_generative_ai_model_config.list</kbd> in the filter to go to the Generative AI Model Configuration \[sys_generative_ai_model_config\] table.
2. Select New.
3. On the form, fill in the fields.  
   For a description of the field values, see .
4. Select Submit.

## Result

The new embedding model is created.

## What to do next

Set a provider for the embedding model.