Vertex AI Search and Conversation has been renamed to Vertex AI Agent Builder. We are in the process of updating content to reflect the new branding.

Create a generic recommendations app

This page describes how to create a generic recommendations app.

Console

To use the Google Cloud console to create a generic recommendations app, follow these steps:

In the Google Cloud console, go to the Agent Builder page.

Agent Builder
On the Apps page, click New app.
On the Create app page, select Recommendations.
In the Your app name field, enter a name for your app. Your app ID appears under the engine name.
Optional: Click Edit to edit your app ID.
Under Content, make sure Generic is selected.
Click Continue.
To connect to a data store, on the Data stores page, select a data store that you previously created or create a new data store. Do one of the following:
- Select an existing data store, if one is available. A data store can be attached to only one app, and it can't be removed from the app later.
- Create a new data store and ingest data into it. Do this by clicking Create new data store and following the steps in the Create a new data store pane that opens. Then select your new data store. For more information about creating a data store, see Create a generic recommendations data store.
Optional: To see a list of unavailable data stores, click Learn why.

A table is displayed with a list of data stores and the reason why they are unavailable. Here are some of the reasons why a data store might be unavailable:
- Your data store type allows connection to only one app and the data store is already connected.
- Your data store and your app are in different regions.
- Your data store and your app are of different types. For example, you cannot connect a media data store to a generic recommendations app.
- Your data store has basic website indexing, whereas a generic recommendations app requires a data store with advanced website indexing.
Click Create.

REST

Before you use the command line to create an app, you must have an existing data store. If you don't have a data store, create one following the steps in Create a generic recommendations data store.

To use the command line to create a recommendations app, follow these steps:

Find your data store ID. If you already have your data store ID, skip to the next step.
1. In the Google Cloud console, go to the Agent Builder page and in the navigation menu, click Data stores.
  
  Go to the Data stores page
2. Click the name of your data store.
3. On the Data page for your data store, get the data store ID.
Create an app and connect it to a data store. A data store can be attached to only one app and can't be removed from the app later.

Key Term: In Vertex AI Search, the term app can be used interchangeably with the term engine in the context of APIs.
```
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
-H "X-Goog-User-Project: PROJECT_ID" \
"https://discoveryengine.googleapis.com/v1alpha/projects/PROJECT_ID/locations/global/collections/default_collection/engines?engineId=APP_ID" \
-d '{
  "displayName": "APP_DISPLAY_NAME",
  "dataStoreIds": ["DATA_STORE_ID"],
  "solutionType": ["SOLUTION_TYPE_RECOMMENDATION"],
  "similarDocumentsConfig": {}
}'
```
Replace the following:
- PROJECT_ID: the ID of your Google Cloud project.
- APP_ID: the ID of the recommendations app that you want to create.
- APP_DISPLAY_NAME: the display name of the recommendations app that you want to create.
- DATA_STORE_ID: the ID of an existing recommendations data store that you want to add to the recommendations app.

What's next

To preview how your recommendations appear, see Get recommendations.