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[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis content demonstrates how to add a website to a data store using the Vertex AI Agent Builder Python API.\u003c/p\u003e\n"],["\u003cp\u003eThe process involves creating a \u003ccode\u003eSiteSearchEngineServiceClient\u003c/code\u003e and defining a \u003ccode\u003eTargetSite\u003c/code\u003e with the website's URI pattern.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to Vertex AI Agent Builder requires setting up Application Default Credentials, and a reference is provided.\u003c/p\u003e\n"],["\u003cp\u003eThe sample code shows how to make a request to create a target site, handle the response, and get operation metadata.\u003c/p\u003e\n"],["\u003cp\u003eUsers can find more code samples for Google Cloud products using the Google Cloud sample browser link provided.\u003c/p\u003e\n"]]],[],null,["# Add a website to a data store\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Create a search data store](/generative-ai-app-builder/docs/create-data-store-es)\n\nCode sample\n-----------\n\n### Python\n\n\nFor more information, see the\n[AI Applications Python API\nreference documentation](/python/docs/reference/discoveryengine/latest).\n\n\nTo authenticate to AI Applications, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n # from google.api_core.client_options import ClientOptions\n #\n # from google.cloud import discoveryengine_v1 as discoveryengine\n #\n # # TODO(developer): Uncomment these variables before running the sample.\n # # project_id = \"YOUR_PROJECT_ID\"\n # # location = \"YOUR_LOCATION\" # Values: \"global\"\n # # data_store_id = \"YOUR_DATA_STORE_ID\"\n # # NOTE: Do not include http or https protocol in the URI pattern\n # # uri_pattern = \"cloud.google.com/generative-ai-app-builder/docs/*\"\n #\n # # For more information, refer to:\n # # https://cloud.google.com/generative-ai-app-builder/docs/locations#specify_a_multi-region_for_your_data_store\n # client_options = (\n # ClientOptions(api_endpoint=f\"{location}-discoveryengine.googleapis.com\")\n # if location != \"global\"\n # else None\n # )\n #\n # # Create a client\n # client = discoveryengine.SiteSearchEngineServiceClient(\n # client_options=client_options\n # )\n #\n # # The full resource name of the data store\n # # e.g. projects/{project}/locations/{location}/dataStores/{data_store_id}\n # site_search_engine = client.site_search_engine_path(\n # project=project_id, location=location, data_store=data_store_id\n # )\n #\n # # Target Site to index\n # target_site = discoveryengine.TargetSite(\n # provided_uri_pattern=uri_pattern,\n # # Options: INCLUDE, EXCLUDE\n # type_=discoveryengine.TargetSite.Type.INCLUDE,\n # exact_match=False,\n # )\n #\n # # Make the request\n # operation = client.create_target_site(\n # parent=site_search_engine,\n # target_site=target_site,\n # )\n #\n # print(f\"Waiting for operation to complete: {operation.operation.name}\")\n # response = operation.result()\n #\n # # After the operation is complete,\n # # get information from operation metadata\n # metadata = discoveryengine.CreateTargetSiteMetadata(operation.metadata)\n #\n # # Handle the response\n # print(response)\n # print(metadata)\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=genappbuilder)."]]