AlloyDB for PostgreSQL documentation
AlloyDB is a fully-managed, PostgreSQL-compatible database for demanding
transactional workloads. It provides enterprise-grade performance and availability
while maintaining 100% compatibility with open-source PostgreSQL.
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training
Training and tutorials
AlloyDB AI Embedding lab
Get hands-on practice with creating and using vector embeddings using AlloyDB. This codelab guides you through setting up an AlloyDB cluster, integrating it with Vertex AI, and then applying a generative model to data queries.
107 minutes
Introductory
Free
training
Training and tutorials
Semantic search with AlloyDB PG_Vector
This lab walks you through building a semantic search web application for searching through movie plot summaries using AlloyDB vector search to find movies and similar movies. Signing in to Google Cloud Qwiklabs is required to access this lab.
135 minutes
Introductory
Free
use case
Use cases
Whitepaper: ScaNN for AlloyDB for PostgreSQL
Explains how ScaNN for AlloyDB for PostgreSQL achieves faster performance and improves memory footprint.
ScaNN
vector search
vector embeddings
vector indexing
use case
Use cases
Best practices for tuning ScaNN indexes
Provides recommendations about how to tune index parameters for optimal balance between recall and QPS.
ScaNN
optimization
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-06-04 UTC.
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