Dokumen ini menunjukkan cara menggunakan embedding tersimpan untuk membuat indeks dan membuat kueri
embedding. Untuk mengetahui informasi selengkapnya tentang menyimpan embedding, lihat Menyimpan embedding vektor.
Anda dapat membuat indeks ScaNN, IVF, IVFFlat, dan HNSW dengan AlloyDB.
Sebelum memulai
Sebelum dapat mulai membuat indeks, Anda harus menyelesaikan prasyarat berikut.
[[["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\u003eThis guide outlines how to generate and query indexes using stored embeddings within AlloyDB.\u003c/p\u003e\n"],["\u003cp\u003eAlloyDB supports the creation of \u003ccode\u003eScaNN\u003c/code\u003e, \u003ccode\u003eIVF\u003c/code\u003e, \u003ccode\u003eIVFFlat\u003c/code\u003e, and \u003ccode\u003eHNSW\u003c/code\u003e index types.\u003c/p\u003e\n"],["\u003cp\u003eBefore creating indexes, you must have the \u003ccode\u003evector\u003c/code\u003e extension (version 0.5.0 or later) installed, with embedding vectors already stored in a table.\u003c/p\u003e\n"],["\u003cp\u003eTo create \u003ccode\u003eScaNN\u003c/code\u003e indexes you must also install the \u003ccode\u003ealloydb_scann\u003c/code\u003e extension.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003epostgres_ann\u003c/code\u003e extension has been renamed to \u003ccode\u003ealloydb_scann\u003c/code\u003e, requiring users to drop old indexes created using \u003ccode\u003epostgres_ann\u003c/code\u003e, upgrade AlloyDB Omni and recreate indexes with \u003ccode\u003ealloydb_scann\u003c/code\u003e.\u003c/p\u003e\n"]]],[],null,["# Create indexes and query vectors in AlloyDB Omni\n\nSelect a documentation version: 16.3.0keyboard_arrow_down\n\n- [Current (16.8.0)](/alloydb/omni/current/docs/ai/store-index-query-vectors)\n- [16.8.0](/alloydb/omni/16.8.0/docs/ai/store-index-query-vectors)\n- [16.3.0](/alloydb/omni/16.3.0/docs/ai/store-index-query-vectors)\n- [15.12.0](/alloydb/omni/15.12.0/docs/ai/store-index-query-vectors)\n- [15.7.1](/alloydb/omni/15.7.1/docs/ai/store-index-query-vectors)\n- [15.7.0](/alloydb/omni/15.7.0/docs/ai/store-index-query-vectors)\n\n\u003cbr /\u003e\n\nThis document shows you how to use stored embeddings to generate indexes and query\nembeddings. For more information about storing embedding, see\n[Store vector embeddings](/alloydb/omni/16.3.0/docs/ai/store-embeddings).\n\nYou can create `ScaNN`, `IVF`, `IVFFlat`, and `HNSW` indexes with AlloyDB.\n| **Caution:** The `postgres_ann` extension is renamed to `alloydb_scann`. Before you upgrade to AlloyDB Omni, you must drop any indexes created using the older `postgres_ann` version. Next, upgrade AlloyDB Omni, and then [create the indexes](#create-index) again using the `alloydb_scann` extension. This applies only to AlloyDB Omni.\n\nBefore you begin\n----------------\n\nBefore you can start creating indexes, you must complete the following\nprerequisites.\n\n- [Embedding vectors are added to a table](/alloydb/omni/16.3.0/docs/ai/store-embeddings) in your\n AlloyDB database.\n\n- The `vector` extension version `0.5.0` or later that is based on `pgvector`, extended by Google for\n AlloyDB is installed.\n\n CREATE EXTENSION IF NOT EXISTS vector;\n\n- To generate `ScaNN` indexes, install the `alloydb_scann` extension in addition\n to the `vector` extension.\n\n CREATE EXTENSION IF NOT EXISTS alloydb_scann;\n\n| **Note:** The `alloydb_scann` extension can be used with PostgreSQL 14 and 15 compatible databases.\n\nCreate an index\n---------------\n\nYou can create one of the following index types for tables in your database.\n**Note:** As the index names are shared across the database, create an index name unique to each table in your database. \nScaNN IVF IVFFlat HNSW\n\nWhat's next\n-----------\n\n- [An example embedding workflow](/alloydb/omni/16.3.0/docs/ai/example-embeddings)\n- [Tune vector query performance](/alloydb/omni/16.3.0/docs/ai/tune-indexes)\n- [Vector index metrics](/alloydb/omni/16.3.0/docs/reference/vector-index-metrics)"]]
