This page describes how to connect third-party data sources to Vertex AI Search.
When you connect a third-party data source, Vertex AI Search creates a data connector, and associates data stores (called entity data stores) with it for the entities that you specify. Entity types are specific to the data source that you're connecting to. For example, Jira Cloud entities include issues, attachments, comments, and worklogs.
Third-party data sources are available only for generic search apps. Chat, recommendations, and agent apps can't use third-party data sources.
Third-party connectors are not CMEK-compliant.
To import data from a Google data source instead, see Create a search data store.
Before you begin
Contact your Google account team and ask to be added to the allowlist for third-party data source connectors.
Go to the section for the source you plan to use:
Connect Confluence Cloud
Use the following procedure to sync data from Confluence Cloud to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before setting up your connection:
Set up access control for your data source. For information about setting up access control, see Use data source access control.
Have the following authentication information ready:
Instance URL. In the form
https://EXAMPLE.atlassian.net
—for example,https://google.atlassian.net
.Instance ID. This is the
cloudid
and can be found by going tohttps://EXAMPLE.atlassian.net/_edge/tenant_info
and copying the value ofcloudId
.
Enable OAuth 2.0 and get the client ID and client secret.
Use
https://vertexaisearch.cloud.google.com/console/oauth/confluence_oauth.html
as the callback URL. For information about enabling OAuth 2.0 for Confluence Cloud and getting the client ID and client secret, see OAuth 2.0 (3LO) apps in the Atlassian Developer documentation.When setting OAuth 2.0 permission scopes, configure the following scopes:
For user permissions to apply correctly, each Confluence Cloud user must make their email visible to all users. To do so, change the email visibility settings in Confluence Cloud and set the visibility to
Anyone
. For more information, see Set your email visibility in the Atlassian documentation.
Console
To use the Google Cloud console to sync data from Confluence Cloud to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data Stores.
Click New data store.
On the Select a data source page, go to the Third-party sources section and select Confluence.
Enter your authentication information and click Authenticate.
A new window appears. Enter the instance username and password. Check that the authentication succeeded before returning to the Specify the Confluence source for your data store page.
Select which entities to sync, then click Continue.
Select a region for your data connector.
Enter a name for your data connector.
Select a synchronization frequency.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data Stores page.
To check the status of your ingestion, go to the Data Stores page and click your data store name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
See Preview results for apps with third-party access control.
Connect Jira Cloud
Use the following procedure to sync data from Jira Cloud to Vertex AI Search.
After you set up your data source and import data the first time, you can choose how often the data store syncs with that source.
Before you begin
Before setting up your connection:
- Set up access control. Ensure that access control is properly configured for your data source. This step ensures that only authorized users can access and manage the data. For more information, see Use data source access control documentation.
- For user permissions to apply correctly, Jira Cloud users must provide sharing consent.
- Make sure that you have an Atlassian account, Jira instance, and project.
- Verify that you have administrator access to the Jira instance, and project.
Set up authentication and permissions in Jira
Using the instructions in the following sections, ensure you have the necessary authentication details and admin access to your Jira instance. Create a Client ID and Client Secret through the Atlassian Developer Console, configure the required OAuth 2.0 scopes, and set up permissions for users. Finally, retrieve your instance URL and ID, configure roles, and authenticate to sync data between Jira Cloud and Vertex AI Search.
Create client ID and client secret
- Sign in to developer.atlassian.com.
- Click the profile icon in the top right corner and select Developer Console.
- Click Create and select OAuth 2.0 Integration.
- Enter a name for the app.
- Check the terms and conditions checkbox.
- Click Create.
You will find five options: Overview, Distribution, Permissions, Authorization, and Settings. Start with Authorization:
a. Click Authorization.
b. In the Authorization type table, select Add for OAuth 2.0 (3LO).
In the Callback URL field, enter
https://vertexaisearch.cloud.google.com/console/oauth/jira_oauth.html
, and then click Save changes.NOTE: If you see the warning: Your app doesn't have any APIs. Add APIs to your app., this will be addressed in the next section.
Select Permissions:
a. Go to Jira API, click Add, then click Configure.
NOTE: When you click Add, the button changes to Configure.
b. Go to the Classic scopes tab and click Edit Scopes. Select the following scopes:
Confirm that 7 scopes are selected, then save your changes.
Click Distribution, select Edit, and do the following:
- Select the Sharing radio button first to enable editing other fields.
- Fill out the remaining fields.
- Select Yes when asked:
Does your app store personal data?
Select Settings to copy your Client ID and Client Secret.
Retrieve instance URL and instance ID
To get the instance URL:
- Go to atlassian.net and sign in with your admin account.
- Select the app you want to sync. For example, sync the first app.
- Find the instance URL, which is the subdomain in the address bar. It will look like:
Assign appropriate permissions
.
To get the instance ID:
- Open a new tab, copy the instance URL, and append
/_edge/tenant_info
to the instance URL. For example,https://YOUR-INSTANCE.atlassian.net/_edge/tenant_info
. - Navigate to the link to find the
cloudId
value. ThecloudId
is your Instance ID.
Set up permissions and roles
- Sign in to atlassian.com with your admin account.
- Click the menu icon on the top left or go to admin.atlassian.com.
On the Admin page, click Manage users and go to the Groups page.
Click Create group. Enter a name for the group and create it.
In the Group product access section of your new group's page, click Add products to group.
For Jira, select User access admin as the product role.
For Jira Admin, select Product admin as the product role and save your changes.
On the Groups page, click Add group members and add users or accounts that the connector will authenticate as.
Create a Jira Cloud connector
Console
To use the Google Cloud console to sync data from Jira Cloud to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data Stores.
Click Create data store.
On the Select a data source page, go to the Third-party sources section and select Jira.
Enter your authentication information and click Authenticate.
A new window appears. Enter the instance username and password. Check that the authentication succeeded before returning to the Specify the Jira source for your data store page.
Select which entities to sync, then click Continue.
Select a region for your data store.
Enter a name for your data store.
Select a synchronization frequency.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data Stores page.
To check the status of your ingestion, go to the Data Stores page and click your data store name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
See Preview results for apps with third-party access control.
Connect Salesforce
Use the following procedure to sync data from Salesforce to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before you begin
Before setting up your connection:
Set up access control for your data source. For information about setting up access control, see Use data source access control.
Have the following authentication information ready. For information about setting up client ID and client secret in Salesforce, see Configure a connected app for the OAuth 2.0 client credentials flow in the Salesforce documentation.
- Instance URL: The domain name of your Salesforce instance. Search for My domain, copy the domain ending with
my.salesforce.com
, and addhttps://
to the beginning. - Client ID: Copy the client ID from the connected app by clicking Manage customer details. If the refresh token is enabled, verify that the token is refreshed and provide the latest token when creating a data store.
- Client secret: Copy the client secret from the connected app by clicking Manage customer details. If the refresh token is enabled, verify that the token is refreshed and provide the latest token when creating a data store.
- Instance URL: The domain name of your Salesforce instance. Search for My domain, copy the domain ending with
For user permissions to apply correctly, Salesforce users must provide sharing consent.
Use either an Enterprise or Developer plan. Trial accounts are not supported.
Make sure that you are using Sales Cloud. Service Cloud is not supported.
Add Google Cloud to Salesforce CORS allowlist. If you have already completed this task, then go to the Create an app section.
- Follow the instructions in the Salesforce documentation to configure the CORS allowlist.
- Enter
https://console.cloud.google.com/
as an origin URL and save your configuration.
Create an app
Salesforce supports the following apps:
Create a connected app
To set up a connected app in Salesforce for integration with Google Cloud, do the following:
- Sign in to Salesforce.
- Click the gear icon and navigate to Setup.
- Under the Setup menu, navigate to App manager.
- Click New connected app.
To configure the connected app:
a. In the connected app creation page, do the following:
- Check Enable OAuth settings.
- Set the callback URL to:
https://vertexaisearch.cloud.google.com/console/oauth/salesforce_oauth.html
. - Select the following OAuth scopes:
- Full Access (
full
). - Perform requests at any time (
refresh_token, offline_access
).
- Full Access (
b. Enable the flows:
- Client credentials flow.
- Authorization code and credentials flow.
- User credentials in POST body for authorization code and credentials flow.
- For Client credentials flow, assign your username in the Run as field. You must have read permissions to all the entities that your connector can extract.
After creating the connected app, do the following:
Edit app policies:
- Go to App Manager and edit the newly created app.
- Set IP Relaxation to
Relax IP restrictions
. - Configure Refresh Token Policy to
Valid until revoked
or more restrictive settings as required. - Ensure Permitted Users is set to
All users may self-authorize
.
Configure IP restrictions:
- If Org-level IP range enforcement is enabled, set Trusted IP Ranges under Security > Network Access. For more information, see the Connected app IP relaxation and continuous IP enforcement documentation.
- Disable Enforce login IP ranges on every request if no IP restrictions are required.
Configure an OAuth connected app:
- Use the following guides to configure an OAuth connected app:
Save the connected app:
- Save and exit the connected app.
- In the search bar, search for OAuth and OpenId connect settings.
- Enable Allow authorization code and credentials flows and OAuth username-password flows.
Create an external client app
To create and configure an external client app in Salesforce to enable OAuth-based authentication for integrations, do the following:
Obtain the client ID and client secret:
- Sign in to Salesforce.
- Click the gear icon and go to Setup.
- Navigate to Setup > Apps > External client apps.
- Click New external client app.
Provide the required information:
- Enter the app name and your email address. The API name gets auto-populated by default.
- Leave the Distribution state as
Local
.
Enable OAuth settings:
- Expand API (Enable OAuth Settings) and select Enable OAuth.
- Configure:
- Callback URL:
https://login.salesforce.com/services/oauth2/callback
- OAuth scopes: Manage user data through APIs (
api
). - In Flow enablement, select Enable client credentials flow.
- Click Create to create the External client app. Go to the External client app manager to view the app that you added to the list.
- Callback URL:
Edit app policies:
- Open the created app.
- Go to Policies and click Edit.
- In the OAuth flows and external client app enhancements, check Enable client credentials flow.
- Enter your Salesforce username in the Run as field.
Access OAuth credentials:
- Click Settings.
- Click OAuth settings.
- Click Consumer key and secret to access the credentials. The verification code is sent to your email address.
- Enter the verification code and click Verify.
- Copy the Consumer key and use it as the client ID.
- Copy the Consumer secret and use it as the client secret.
Create a Salesforce connector
Console
To use the Google Cloud console to sync data from Salesforce to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data stores.
Click Create data store.
On the Select a data source page, scroll or search for Salesforce to connect your third-party source.
Enter your Salesforce authentication information.
Select which entities to sync and click Continue.
Select a region for your data store.
Enter a name for your data store.
Select a synchronization frequency.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data stores page.
To check the status of your ingestion, go to the Data stores page and click your data store name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
See Preview results for apps with third-party access control.
Connect ServiceNow
Use the following procedure to sync data from ServiceNow to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before setting up your connection:
Set up access control for your data source. For information about setting up access control, see Use data source access control.
Have the following authentication information ready:
- Instance URL in the form of
https://<domain-name>.service-now.com/
. - Client ID and client secret. For information about endpoint setup and getting the client ID and client secret, see Create an endpoint for clients to access the instance in the ServiceNow documentation.
Username and password for one of the following ServiceNow role types:
- Administrator role. See Base system roles in the ServiceNow documentation.
A custom ServiceNow role. This is an alternative to using an administrator role. To use a custom ServiceNow role, create access control rules with the following fields:
For more information, see Create a role and Create an ACL rule in the ServiceNow documentation.
- Instance URL in the form of
Console
To use the Google Cloud console to sync data from ServiceNow to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data Stores.
Click Create data store.
On the Select a data source page, go to the Third-party sources section and select ServiceNow.
Enter your ServiceNow authentication information.
Select which entities to sync and click Continue.
Select a region for your data connector.
Enter a name for your data connector.
Select a synchronization frequency.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data Stores page.
To check the status of your ingestion, go to the Data Stores page and click your data connector name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
See Preview results for apps with third-party access control.
Connect Sharepoint Online
Use the following procedure to sync data from Sharepoint Online to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before setting up your connection:
Set up access control for your data source. For information about setting up access control, see Use data source access control.
Grant administrator consent. For information about how to grant consent, see Grant tenant-wide admin consent to an application in the Microsoft documentation.
Prepare the following Sharepoint Online authentication information to use during setup:
- Instance URL. In the form
http://DOMAIN_OR_SERVER/[sites/]WEBSITE
. For more information about URLs, see URLs and tokens in SharePoint in the Sharepoint documentation. Tenant ID, client ID, and client secret. To register the application, select Accounts in this organizational directory only for the sign-in audience, and then locate this authentication information. For more information, see Quickstart: Register an application with the Microsoft identity platform in the Microsoft documentation.
When registering the application, use
https://vertexaisearch.cloud.google.com/console/oauth/confluence_oauth.html
as the web callback URL.When configuring application permissions, add the following application permissions for Graph API:
When configuring application permissions, add the following delegated permissions for Sharepoint REST API:
- Instance URL. In the form
The following table describes the roles that are recommended for configuration and their limitations.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
See Preview results for apps with third-party access control.
Connect Slack
Use the following procedure to sync data from Slack to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before you begin
Before setting up your connection:
Set up access control for your data source. For information about setting up access control, see Use data source access control.
Contact the Workspace owner to provide the permissions to install new apps in your workspace.
Prepare the following Slack authentication information:
- Workspace ID: Get the Workspace ID by following the instructions in Specify the Slack source for your data store in the Slack documentation.
- Access token: Create a client app and define the required scopes. For more information, see Quickstart and How to quickly get and use a Slack API token in the Slack documentation.
- When setting OAuth 2.0 permission scopes, configure the following scopes:
By default, Slack restricts crawling and syncing content from private channels, group messages, and direct messages.
Configure Slack app
Obtain an access token to allow Vertex AI Search to ingest documents from your Slack workspace.
Generate a bot token
Generate a bot token to securely access private channels, instant messages (IMs), and multi-party instant messages (MPIMs). The bot token cannot crawl into the public channels it is not part of, and joining public channels generates a join message.
- Sign in to Slack API Apps.
- Click Create new app.
- Select From scratch.
- Enter a name for your app and select the workspace for integration.
- Click Create app.
- Click OAuth & Permissions.
Under Bot token scopes, add the following required scopes:
By default, the bot reads from the
#general
and#random
channels. To enable crawling, do the following:- For public channels, grant the
channels:join
scope to allow the bot to join automatically. - For private channels, invite the bot manually.
- For public channels, grant the
Click Install to your username workspace.
Follow the on-screen instructions to install the app and retrieve the bot token.
Generate a user token
Generate a user token to access all public channels without joining them first. The user token cannot crawl private channels, IMs, or MPIMs unless the user has access.
- Sign in to Slack API Apps.
- Click Create new app.
- Select From scratch.
- Enter a name for your app and select the workspace for integration.
- Click Create app.
- Click OAuth & Permissions.
Under User token scopes, add the following required scopes:
Click Install to your username workspace.
Follow the on-screen instructions to install the app and retrieve the user token.
Create a Slack Cloud connector
Console
To use the Google Cloud console to sync data from Slack to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data stores.
Click Create data store.
On the Select a data source page, scroll or search for Slack to connect your third-party source.
Enter your Slack authentication information.
- Instance ID (Workspace ID): Obtain this from your Slack workspace by signing in through a browser. The workspace ID is the segment after
/client
in the URL. - Auth token: Use the token obtained from the previous section.
- Instance ID (Workspace ID): Obtain this from your Slack workspace by signing in through a browser. The workspace ID is the segment after
Select which entities to sync and click Continue.
Select a region for your data store.
Enter a name for your data store.
Select a synchronization frequency for your data store.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data stores page.
To check the status of your ingestion, go to the Data stores page and click your data store name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
See Preview results for apps with third-party access control.
Connect Dropbox
Use the following procedure to sync data from Dropbox to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before you begin
Before setting up your connection:
Set up access control for your data source. For more information, see Use data source access control.
Have the following Dropbox authentication information ready. For information about setting up these parameters, see the OAuth Guide in the Dropbox documentation.
- Client ID
- Client secret
Console
To use the Google Cloud console to sync data from Dropbox to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data Stores.
Click Create data store.
On the Select a data source page, go to the Third-party sources section and select Dropbox.
Enter your Dropbox authentication information and click Authenticate. A new window appears.
Authenticate your account and confirm that it succeeded before returning to the Specify the Dropbox source for your data store page.
Select which entities to sync and click Continue.
Select a location for your data store.
Enter a name for your data store.
Select a synchronization frequency for your data store.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data stores page.
To check the status of your ingestion, go to the Data stores page and click your data store name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization. Check the Documents tab to make sure your entities have been ingested correctly.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
To preview how your search results appear after your app and data store are set up, see Get search results. If you used third-party access control, see Preview results for apps with third-party access control.
Connect Box
Use the following procedure to sync data from Box to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before you begin
Before setting up your connection:
Set up access control for your data source. For information about setting up access control, see Use data source access control.
Have the following Box authentication information ready. For information about setting up these parameters, see JWT Auth in the Box developer documentation.
- Enterprise ID
- Client ID
- Client secret
- Public key ID
- Private key
- Passphrase
When creating the JWT endpoint, configure the following scopes:
Incremental changes for comments can take longer to sync than the configured frequency interval. If a folder containing an entity is copied or moved, then incremental changes can take longer to sync than the configured frequency interval.
Create Box app
- Sign in to the Box Developer Console with your administrator account.
- Click Create new app.
- Select Custom app type.
- Enter the App name.
- Set the Purpose of the app: Integration, AI, or Google Cloud Agent Builder.
- Choose Server authentication with JWT.
Configure Box app
Configure the settings for your Box app.
Create public/private key
- Go to the Box Developer Console.
In the Configuration tab, click Generate a Public/Private Keypair.
- The public key is automatically uploaded to the console with an ID. This ID is used when creating a connection.
- A configuration file with the private key and passphrase can be downloaded locally. Make sure to keep this configuration file for later use.
- Optionally, to generate your own key see the Box keypair setup guide.
Configure required permissions
- In the Application scopes section, select the following permission:
- Read all files and folders stored in Box.
Authorize the app
- In the Authorization tab, click Review and submit and wait for approval from your administrator.
- Administrators can approve the app in the Admin Console.
After authorization, Box fully sets up the app.
Create a Box connector
Console
To use the Google Cloud console to sync data from Box to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data stores.
Click Create data store.
On the Select a data source page, scroll or search for Box to connect your third-party source.
Enter your authentication information.
Select which entities to sync and click Continue.
Select a region for your data store.
Enter a name for your data store.
Select a synchronization frequency for your data store.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data stores page.
To check the status of your ingestion, go to the Data stores page and click your data store name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
To preview how your search results appear after your app and data store are set up, see Get search results. If you used third-party access control, see Preview results for apps with third-party access control.
Connect OneDrive
Use the following procedure to sync data from OneDrive to Vertex AI Search.
After you set up your data source and import data the first time, the data store syncs data from that source at a frequency that you select during setup.
Before you begin
Before setting up your connection:
Set up access control for your data source. For information about setting up access control, see Use data source access control.
Have the following OneDrive authentication information ready:
Client ID, client secret, and tenant ID. For information about setting up these parameters, see Quickstart: Register an application with the Microsoft identity platform in the Microsoft documentation.
Specify scopes for access. An administrator role is required. For more information, see Quickstart: Configure a client application to access a web API in the Microsoft documentation.
Configure the following scopes:
Console
To use the Google Cloud console to sync data from OneDrive to Vertex AI Search, follow these steps:
In the Google Cloud console, go to the Agent Builder page.
In the navigation menu, click Data stores.
Click Create data store.
On the Select a data source page, go to the Third-party sources section and select OneDrive.
Enter your OneDrive authentication information.
Select which entities to sync and cick Continue.
Select a region for your data store.
Enter a name for your data store.
Select a synchronization frequency for your data store.
Click Create. Vertex AI Search creates your data store and displays your data stores on the Data stores page.
To check the status of your ingestion, go to the Data stores page and click your data store name to see details about it on its Data page. The Connector state changes from Creating to Running when it starts synchronizing data. When ingestion is complete, the state changes to Active to indicate that the connection to your data source is set up and awaiting the next scheduled synchronization.
Depending on the size of your data, ingestion can take minutes or hours.
Next steps
To attach your data store to an app, create an app and select your data store following the steps in Create a search app.
To preview how your search results appear after your app and data store are set up, see Get search results. If you used third-party access control, see Preview results for apps with third-party access control.