Questa pagina mostra come installare AlloyDB Omni e integrare
AlloyDB AI.
AlloyDB AI
è una suite di funzionalità incluse in AlloyDB Omni che ti consentono di
creare applicazioni aziendali di AI generativa. Per ulteriori informazioni sulla funzionalità
AI/ML di AlloyDB, consulta
Crea applicazioni di AI generativa.
AlloyDB Omni con AlloyDB AI ti consente di eseguire query sui modelli di ML remoti per lavorare con le previsioni online e gli incorporamenti di testo generati dai modelli di ML. AlloyDB Omni con AlloyDB AI può anche elaborare incorporamenti vettoriali da altri contenuti, ad esempio un'immagine, se utilizzi l'interfaccia google_ml.predict_row ed esegui la traduzione autonomamente nella query.
In base a dove vuoi installare AlloyDB Omni con AlloyDB AI, seleziona una delle seguenti opzioni:
Verifica l'installazione di AlloyDB Omni con AlloyDB AI
Per verificare che l'installazione sia andata a buon fine e utilizzi la previsione del modello, inserisci quanto segue:
Nella query precedente, la chiamata embedding() genera incorporamenti per il testo di input AlloyDB AI.
array_dims restituisce le dimensioni dell'array restituito da embedding().
Poiché il modello text-embedding-005 restituisce un output con 768 dimensioni, l'output è [768].
[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-09-04 UTC."],[[["\u003cp\u003eAlloyDB Omni with AlloyDB AI enables users to build enterprise generative AI applications and query remote ML models for online predictions and text embeddings.\u003c/p\u003e\n"],["\u003cp\u003eInstallation of AlloyDB Omni with AlloyDB AI can be done through a single-server Kubernetes GDC air-gapped environment.\u003c/p\u003e\n"],["\u003cp\u003eUsers can verify the successful installation and use of model prediction by creating the \u003ccode\u003egoogle_ml_integration\u003c/code\u003e extension and using the \u003ccode\u003eembedding()\u003c/code\u003e function to generate text embeddings.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eembedding()\u003c/code\u003e function, demonstrated with the \u003ccode\u003etext-embedding-005\u003c/code\u003e model, returns an output with 768 dimensions, as shown in the verification example.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI model support and stability are subject to Vertex AI's model versioning and lifecycle guidelines.\u003c/p\u003e\n"]]],[],null,["# Install AlloyDB AI in AlloyDB Omni\n\nSelect a documentation version: 16.3.0keyboard_arrow_down\n\n- [Current (16.8.0)](/alloydb/omni/current/docs/install-with-alloydb-ai)\n- [16.8.0](/alloydb/omni/16.8.0/docs/install-with-alloydb-ai)\n- [16.3.0](/alloydb/omni/16.3.0/docs/install-with-alloydb-ai)\n- [15.12.0](/alloydb/omni/15.12.0/docs/install-with-alloydb-ai)\n- [15.7.1](/alloydb/omni/15.7.1/docs/install-with-alloydb-ai)\n- [15.7.0](/alloydb/omni/15.7.0/docs/install-with-alloydb-ai)\n- [15.5.5](/alloydb/omni/15.5.5/docs/install-with-alloydb-ai)\n- [15.5.4](/alloydb/omni/15.5.4/docs/install-with-alloydb-ai)\n- [15.5.2](/alloydb/omni/15.5.2/docs/install-with-alloydb-ai)\n\n\u003cbr /\u003e\n\nThis page shows you how to install AlloyDB Omni and integrate\nAlloyDB AI.\n\n[AlloyDB AI](https://cloud.google.com/alloydb/ai)\nis a suite of features included with AlloyDB Omni that let you\nbuild enterprise generative AI applications. For more information about the\nAI/ML functionality of AlloyDB, see\n[Build generative AI applications](/alloydb/omni/16.3.0/docs/ai/overview-ai).\n\nAlloyDB Omni with AlloyDB AI lets you query remote ML models to work with online predictions and text embeddings generated from ML models. AlloyDB Omni with AlloyDB AI can also process vector embeddings from other content such as an image, for example, if you use the `google_ml.predict_row` interface and do the translation yourself in the query.\n\nBased on where you want to install AlloyDB Omni with AlloyDB AI, select one of the following options: \nSingle-server Kubernetes GDC air-gapped\n\nVerify AlloyDB Omni with AlloyDB AI installation\n------------------------------------------------\n\nTo verify your installation is successful and uses model prediction, enter the following: \n\n CREATE EXTENSION IF NOT EXISTS google_ml_integration CASCADE;\n\n SELECT array_dims(embedding('text-embedding-005', 'AlloyDB AI')::real[]);\n\nThe output looks similar to the following: \n\n array_dims\n ------------\n [1:768]\n (1 row) \n\n| **Note:** Vertex AI model support is governed by Vertex AI model versioning and lifecycle guidelines. For more information about stable versions, see [Model versions and lifecycle](/vertex-ai/generative-ai/docs/learn/model-versions).\n\nIn the previous query, the `embedding()` call generates embeddings for the input text `AlloyDB AI`.\n`array_dims` returns the dimensions of the array returned by `embedding()`.\nSince the `text-embedding-005` model returns an output with 768 dimensions, the output is `[768]`.\n\nWhat's next\n-----------\n\n- [Run and connect to AlloyDB Omni](/alloydb/omni/16.3.0/docs/run-connect)\n- [Manage AlloyDB Omni](/alloydb/omni/16.3.0/docs/manage)\n- [Build generative AI applications using AlloyDB AI](/alloydb/omni/16.3.0/docs/ai/overview-ai)\n- [Register and call remote AI models](/alloydb/omni/16.3.0/docs/ai/register-model-endpoint)"]]