---
sourceDocument: Brazil ServiceNow AI Platform Administration
sourceDocumentLink: https://www.servicenow.com/docs/r/platform-administration

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil ServiceNow AI Platform Administration

ft:clusterId :

    - platadm

bundleId :

    - platadm

workflow :

    - Platform


---

# Enable the custom embedding model for semantic indexing

# Enable the custom embedding model for semantic indexing {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Add your newly created embedding model in the semantic indexing table.

## Before you begin

Role required: admin

## Procedure

1. Navigate to All, and then enter <kbd class="ph userinput">ais_symantic_embedding_model.list</kbd> in the filter to go to the AI Search Semantic Embedding Models \[sys_generative_ai_config\] table.
2. Select New.
3. In the Name field, enter a unique name.
4. In the Model Id field, enter a unique id.
5. In the One Extend Capability Definition field, select a BYOM capability definition you created to set a provider for embedding model.
6. In the Model Config field, select a configured embedding model.
7. Select the Active option.
8. Select the Batching Supported option if you want to configure batching for your embedding model.
9. In the Minimum Batch Size and Maximum Batch Size fields, enter the required values.
10. In the Error Handler Extension Instance field, select an error handler instance.  
    For more information, see [Create error handler extension point](https://www.servicenow.com/docs/DTsw8pMsnW_RoElj2tSPhQ "Create a scripted extension point to handle embedding generation errors that occur when custom embedding models generate semantic vectors. Using extension point enables you to create a primary ticket type as per the extension point definition.").
11. Select Submit.

## What to do next

Add your embedding model to the semantic index configuration to enable content ingestion using that model. For more information, see [Configure semantic indexing settings for an indexed source](https://www.servicenow.com/docs/d_wOxuJAVE0zNW6TlKPNyQ "Specify the semantic indexing configuration settings you want to apply when AI Search indexes records from your indexed sources.").