Connect your custom embedding model with Generative AI

task brazil Updated Sep 10, 2026 1 min read connect-em-with-genai.md

Raw file servicenow.com

Integrate a capability definition with your custom embedding model.

Before you begin

Role required: admin

Procedure

Navigate to All, and then enter sys_generative_ai_config.list in the filter to go to the Generative AI Configurations [sys_generative_ai_config] table.
Select New.
Verify that Definition Table field is prepopulated with sys_one_extend_capability_definition.
In the Definition field, select the search icon to select the definition document.
1. In the Table name field, select One API System Executor [one_api_system_executor].
2. In the Document field, select the OneExtend capability definition that you want to integrate with the embedding model.
3. Select OK.
In the Model field, select an embedding model of your choice.
Select the Active option.
Populate the Additional Configurations field.
- In the Name field, enter resource_path.
- In the Value field, enter the end point path of the connection alias URL, the one you created for your embedding model. For example, deployments/text-embedding-3-large/embeddings?api-version=2023-05-15.
Select Submit.

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---
title: Connect your custom embedding model with Generative AI
description: Integrate a capability definition with your custom embedding model.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/platform-administration/ai-search/connect-em-with-genai.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]
---

# Connect your custom embedding model with Generative AI

Integrate a capability definition with your custom embedding model.

## Before you begin

Role required: admin

## Procedure

1. Navigate to **All**, and then enter `sys_generative_ai_config.list` in the filter to go to the Generative AI Configurations \[sys\_generative\_ai\_config\] table.

2. Select **New**.

3. Verify that **Definition Table** field is prepopulated with sys\_one\_extend\_capability\_definition.

4. In the **Definition** field, select the search icon to select the definition document.

1. In the **Table name** field, select One API System Executor \[one\_api\_system\_executor\].

2. In the **Document** field, select the OneExtend capability definition that you want to integrate with the embedding model.

3. Select **OK**.

5. In the **Model** field, select an embedding model of your choice.

6. Select the **Active** option.

7. Populate the **Additional Configurations** field.

- In the **Name** field, enter `resource_path`.
- In the **Value** field, enter the end point path of the connection alias URL, the one you created for your embedding model. For example, deployments/text-embedding-3-large/embeddings?api-version=2023-05-15.
8. Select **Submit**.