En la página Crear app, en Motor de recomendaciones, haz clic en
Crear.
En el campo Nombre de tu app, ingresa un nombre para ella. El ID de la app aparece debajo del nombre del motor.
Opcional: Haz clic en Editar para editar el ID de tu app.
Haz clic en Continuar.
Para conectarte a un almacén de datos, en la página Almacenes de datos, selecciona un almacén de datos que contenga datos estructurados o elige crear uno.
Realiza una de las siguientes acciones:
Selecciona un almacén de datos existente, si hay uno disponible. Un almacén de datos solo se puede adjuntar a una app y no se puede quitar de ella más adelante.
Crea un almacén de datos estructurados nuevo y, luego, ingiere datos en él. Para ello, haz clic en Crear almacén de datos y sigue los pasos del panel Crear un almacén de datos nuevo que se abre. Luego, selecciona tu almacén de datos nuevo. Para obtener más información sobre cómo crear un almacén de datos, consulta Crea un almacén de datos de recomendaciones personalizado.
Opcional: Para ver una lista de los almacenes de datos no disponibles, haz clic en Más información.
Se muestra una tabla con una lista de los almacenes de datos y el motivo por el que no están disponibles. Estos son algunos de los motivos por los que un almacén de datos podría no estar disponible:
Tu tipo de almacén de datos solo permite la conexión a una app, y el almacén de datos ya está conectado.
Tu almacén de datos y tu app se encuentran en regiones diferentes.
Tu almacén de datos y tu app son de diferentes tipos. Por ejemplo, no puedes conectar un almacén de datos de medios a una app de recomendaciones personalizada.
Tu almacén de datos tiene una búsqueda básica de sitios web, mientras que una app de recomendaciones personalizada requiere un almacén de datos con indexación de sitios web avanzada.
Haz clic en Crear.
REST
Antes de usar la línea de comandos para crear una app, debes tener un almacén de datos existente. Si no tienes un almacén de datos, crea uno siguiendo los pasos que se indican en Crea un almacén de datos de recomendaciones personalizado.
Para usar la línea de comandos y crear una app de recomendaciones, sigue estos pasos:
Busca el ID de tu almacén de datos. Si ya tienes el ID del almacén de datos, ve al siguiente paso.
En la consola de Google Cloud , ve a la página AI Applications y, en el menú de navegación, haz clic en Data Stores.
En la página Datos de tu almacén de datos, obtén el ID del almacén de datos.
Crea una app y conéctala a un almacén de datos estructurados. Un almacén de datos solo se puede adjuntar a una app y no se puede quitar de ella más adelante.
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-09-05 (UTC)"],[[["\u003cp\u003eThis feature is currently in Preview, subject to the Pre-GA Offerings Terms, which may include limited support and potential incompatibility with other pre-GA versions.\u003c/p\u003e\n"],["\u003cp\u003eYou can create a generic recommendations app using the Google Cloud console by navigating to the Agent Builder page, creating a new app, and connecting it to a structured data store, which can be either an existing one or a new one that you create.\u003c/p\u003e\n"],["\u003cp\u003eTo create a recommendations app via the command line (REST), you must first have an existing data store, and you will need to use \u003ccode\u003ecurl\u003c/code\u003e with your project ID, app ID, app display name, and data store ID in the request.\u003c/p\u003e\n"],["\u003cp\u003eA data store can be connected to only one app, and once connected, it cannot be removed from that app.\u003c/p\u003e\n"],["\u003cp\u003eWhen connecting a data store to an app, it may be unavailable due to various reasons, such as already being connected to another app, being in a different region, or being an incompatible data store type.\u003c/p\u003e\n"]]],[],null,["# Create a custom recommendations app\n\n| **Note:** This feature is a Preview offering, subject to the \"Pre-GA Offerings Terms\" of the [GCP Service Specific Terms](https://cloud.google.com/terms/service-terms). Pre-GA products and features may have limited support, and changes to pre-GA products and features may not be compatible with other pre-GA versions. For more information, see the [launch stage descriptions](https://cloud.google.com/products#product-launch-stages). Further, by using this feature, you agree to the [Generative AI Preview terms and conditions](https://cloud.google.com/trustedtester/aitos) (\"Preview Terms\"). For this feature, you can process personal data as outlined in the [Cloud Data Processing Addendum](https://cloud.google.com/terms/data-processing-terms), subject to applicable restrictions and obligations in the Agreement (as defined in the Preview Terms).\n|\n| \u003cbr /\u003e\n|\nThis page describes how to create a custom recommendations app. \n\n### Console\n\nTo use the Google Cloud console to create a custom recommendations app, follow\nthese steps:\n\n1. In the Google Cloud console, go to the **AI Applications** page.\n\n [AI Applications](https://console.cloud.google.com/gen-app-builder/engines)\n2. On the **Apps** page, click **Create app**.\n\n3. On the **Create App** page, under **Recommendations engine** , click\n **Create**.\n\n4. In the **Your app name** field, enter a name for your app. Your app ID\n appears under the engine name.\n\n5. Optional: Click **Edit** to edit your app ID.\n\n6. Click **Continue**.\n\n7. To connect to a data store, on the **Data Stores** page, select a data store\n that contains structured data or choose to create a data store.\n Do one of the following:\n\n - Select an existing data store, if one is available. A data store can be\n attached to only one app, and it can't be removed from the app later.\n\n - Create a new structured data store and ingest data into it. Do this by\n clicking **Create data store** and following the steps in the **Create a\n new data store** pane that opens. Then select your new data store. For\n more information about creating a data store, see [Create a\n custom recommendations data store](/generative-ai-app-builder/docs/create-data-store-recommendations).\n\n8. Optional: To see a list of unavailable data stores, click **Learn why**.\n\n A table is displayed with a list of data stores and the reason why they are\n unavailable. Here are some of the reasons why a data store might be\n unavailable:\n - Your data store type allows connection to only one app and the data store is already connected.\n - Your data store and your app are in different regions.\n - Your data store and your app are of different types. For example, you cannot connect a media data store to a custom recommendations app.\n - Your data store has basic website search, whereas a custom recommendations app requires a data store with advanced website indexing.\n9. Click **Create**.\n\n### REST\n\nBefore you use the command line to create an app, you must have an existing data\nstore. If you don't have a data store, create one following the steps in\n[Create a custom recommendations data store](/generative-ai-app-builder/docs/create-data-store-recommendations).\n| **Note:** This feature is experimental.\n\nTo use the command line to create a recommendations app, follow these steps:\n\n1. Find your data store ID. If you already have your data store\n ID, skip to the next step.\n\n 1. In the Google Cloud console, go to the **AI Applications** page and\n in the navigation menu, click **Data Stores**.\n\n [Go to the Data Stores page](https://console.cloud.google.com/gen-app-builder/data-stores)\n 2. Click the name of your data store.\n\n 3. On the **Data** page for your data store, get the data store ID.\n\n2. Create an app and connect it to a structured data store. A data store\n can be attached to only one app and can't be removed from the app later.\n\n **Key Term:** In Vertex AI Search, the term *app* can be used interchangeably with the term *engine* in the context of APIs. \n\n curl -X POST \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n -H \"Content-Type: application/json\" \\\n -H \"X-Goog-User-Project: \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e\" \\\n \"https://discoveryengine.googleapis.com/v1alpha/projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/locations/global/collections/default_collection/engines?engineId=\u003cvar translate=\"no\"\u003eAPP_ID\u003c/var\u003e\" \\\n -d '{\n \"displayName\": \"\u003cvar translate=\"no\"\u003eAPP_DISPLAY_NAME\u003c/var\u003e\",\n \"dataStoreIds\": [\"\u003cvar translate=\"no\"\u003eDATA_STORE_ID\u003c/var\u003e\"],\n \"solutionType\": [\"SOLUTION_TYPE_RECOMMENDATION\"],\n \"similarDocumentsConfig\": {}\n }'\n\n Replace the following:\n - \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: the ID of your Google Cloud project.\n - \u003cvar translate=\"no\"\u003eAPP_ID\u003c/var\u003e: the ID of the recommendations app that you want to create.\n - \u003cvar translate=\"no\"\u003eAPP_DISPLAY_NAME\u003c/var\u003e: the display name of the recommendations app that you want to create.\n - \u003cvar translate=\"no\"\u003eDATA_STORE_ID\u003c/var\u003e: the ID of an existing recommendations data store that you want to add to the recommendations app.\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- To preview how your recommendations appear, see [Get recommendations](/generative-ai-app-builder/docs/preview-recommendations)."]]
