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[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis code sample demonstrates how to import documents from AlloyDB into a Vertex AI Agent Builder data store using the \u003ccode\u003ediscoveryengine\u003c/code\u003e Python library.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to Vertex AI Agent Builder is required, and users can use Application Default Credentials for local development.\u003c/p\u003e\n"],["\u003cp\u003eThe code snippet provides parameters like project ID, location, data store ID, and AlloyDB details (project, location, cluster, database, and table IDs) for configuration.\u003c/p\u003e\n"],["\u003cp\u003eThe import process supports \u003ccode\u003eFULL\u003c/code\u003e or \u003ccode\u003eINCREMENTAL\u003c/code\u003e reconciliation modes and uses the \u003ccode\u003eImportDocumentsRequest\u003c/code\u003e function.\u003c/p\u003e\n"],["\u003cp\u003eThe location needs to be specified using the \u003ccode\u003eclient_options\u003c/code\u003e, and the specific multi-region is to be selected as well.\u003c/p\u003e\n"]]],[],null,["# Import documents from AlloyDB\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 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 # alloy_db_project_id = \"YOUR_ALLOY_DB_PROJECT_ID\"\n # alloy_db_location_id = \"YOUR_ALLOY_DB_LOCATION_ID\"\n # alloy_db_cluster_id = \"YOUR_ALLOY_DB_CLUSTER_ID\"\n # alloy_db_database_id = \"YOUR_ALLOY_DB_DATABASE_ID\"\n # alloy_db_table_id = \"YOUR_ALLOY_DB_TABLE_ID\"\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.DocumentServiceClient(client_options=client_options)\n\n # The full resource name of the search engine branch.\n # e.g. projects/{project}/locations/{location}/dataStores/{data_store_id}/branches/{branch}\n parent = client.branch_path(\n project=project_id,\n location=location,\n data_store=data_store_id,\n branch=\"default_branch\",\n )\n\n request = discoveryengine.ImportDocumentsRequest(\n parent=parent,\n alloy_db_source=discoveryengine.AlloyDbSource(\n project_id=alloy_db_project_id,\n location_id=alloy_db_location_id,\n cluster_id=alloy_db_cluster_id,\n database_id=alloy_db_database_id,\n table_id=alloy_db_table_id,\n ),\n # Options: `FULL`, `INCREMENTAL`\n reconciliation_mode=discoveryengine.ImportDocumentsRequest.ReconciliationMode.INCREMENTAL,\n )\n\n # Make the request\n operation = client.import_documents(request=request)\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.ImportDocumentsMetadata(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)."]]