Enable the custom embedding model for semantic indexing

task brazil Updated Sep 10, 2026 1 min read enable-byom-for-semnatic-indexing.md

Raw file servicenow.com

Add your newly created embedding model in the semantic indexing table.

Before you begin

Role required: admin

Procedure

Navigate to All, and then enter ais_symantic_embedding_model.list in the filter to go to the AI Search Semantic Embedding Models [sys_generative_ai_config] table.
Select New.
In the Name field, enter a unique name.
In the Model Id field, enter a unique id.
In the One Extend Capability Definition field, select a BYOM capability definition you created to set a provider for embedding model.
In the Model Config field, select a configured embedding model.
Select the Active option.
Select the Batching Supported option if you want to configure batching for your embedding model.
In the Minimum Batch Size and Maximum Batch Size fields, enter the required values.
In the Error Handler Extension Instance field, select an error handler instance.

For more information, see Create error handler extension point.
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.

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---
title: Enable the custom embedding model for semantic indexing
description: Add your newly created embedding model in the semantic indexing table.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/platform-administration/ai-search/enable-byom-for-semnatic-indexing.html
release: brazil
product: AI Search
classification: ai-search
topic_type: task
last_updated: "2026-09-10"
reading_time_minutes: 1
breadcrumb: [Configuring bring your own model \(BYOM\), Configuring your embedding model, AI Search RAG \(Retrieval-Augmented Generation\), Semantic index configuration for indexed sources, Indexed sources, Configure, AI Search, Search administration, Configure core features, Administer the ServiceNow AI Platform]
---

# Enable the custom embedding model for semantic indexing

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 `ais_symantic_embedding_model.list` 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://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/platform-administration/ai-search/create-error-handler-extention-point.md).

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://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/platform-administration/ai-search/configure-semantic-indexing-ais.md).