Halaman ini menunjukkan cara menginstal AlloyDB Omni dan mengintegrasikan AlloyDB AI.
AlloyDB AI
adalah serangkaian fitur yang disertakan dengan AlloyDB Omni yang memungkinkan Anda
membangun aplikasi AI generatif perusahaan. Untuk mengetahui informasi selengkapnya tentang
fungsi AI/ML AlloyDB, lihat
Membangun aplikasi AI generatif.
AlloyDB Omni dengan AlloyDB AI memungkinkan Anda membuat kueri model ML jarak jauh untuk bekerja dengan prediksi online dan penyematan teks yang dihasilkan dari model ML. AlloyDB Omni dengan AlloyDB AI juga dapat memproses penyematan vektor dari konten lain seperti gambar, misalnya, jika Anda menggunakan antarmuka google_ml.predict_row dan melakukan terjemahan sendiri dalam kueri.
Berdasarkan tempat Anda ingin menginstal AlloyDB Omni dengan AlloyDB AI, pilih salah satu opsi berikut:
Memverifikasi penginstalan AlloyDB Omni dengan AlloyDB AI
Untuk memverifikasi bahwa penginstalan Anda berhasil dan menggunakan prediksi model, masukkan perintah berikut:
Dalam kueri sebelumnya, panggilan embedding() menghasilkan embedding untuk teks input AlloyDB AI.
array_dims menampilkan dimensi array yang ditampilkan oleh embedding().
Karena model text-embedding-005 menampilkan output dengan 768 dimensi, outputnya adalah [768].
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 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)"]]
