The following vector search improvements are now available in

## Announcement Announcement The following vector search improvements are now available in[Preview](https://cloud.google.com/products#product-launch-stages): * AlloyDB now supports Vector assist. Vector assist is an AlloyDB extension that simplifies the deployment and management of your AlloyDB vector workloads. It helps you set up production-ready vector search capabilities, such as embedding generation, query optimization, and index creation for vector types like HNSW. For more information about vector assist, how it works, and its limitations, see[Vector assist overview](https://cloud.google.com/alloydb/docs/ai/vector-assist-overview). * You can now defer ScaNN index creation on an empty table or a table with insufficient rows until the table has sufficient data. For more information, see [Create a ScaNN index](https://cloud.google.com/alloydb/docs/ai/create-scann-index#deferred-index-creation-for-empty-tables-insufficient-rows). * The `alloydb_scann` extension now supports four-level tree indexes, providing support for tables with up to 10 billion vector rows. For more information, see [Four-level ScaNN tree indexes](https://cloud.google.com/alloydb/docs/ai/create-scann-index#create-scann-index-manual). ## Feature Feature Adaptive filtering from inline filtering to pre-filtering is now generally available ([GA](https://cloud.google.com/products#product-launch-stages)). With AlloyDB AI, you can use adaptive filtering to optimize filtered vector searches. This feature enables the query optimizer to use cost-based analysis to dynamically choose the most efficient filtering strategy—either inline filtering or pre-filtering—based on real-time data distributions. This improves filtered vector search performance without requiring manual tuning or intervention. Note that the feature adaptive filtering from pre-filtering to inline filtering is still in[Preview](https://cloud.google.com/products#product-launch-stages). For more information, see [Understand adaptive filtering in AlloyDB AI](https://cloud.google.com/alloydb/docs/ai/adaptive-filtering). ## Announcement Announcement The `alloydb_scann` extension is updated to include the following vector search improvements. These features are generally available ([GA](https://cloud.google.com/products#product-launch-stages)): * By default, new ScaNN vector index builds are automatically tuned. Manually-tuned indexes can be converted to automatically-tuned indexes. For more information, see [Create a ScaNN index](https://cloud.google.com/alloydb/docs/ai/create-scann-index). * You can now automatically maintain your ScaNN vector indexes. AlloyDB incrementally manages your index such that when your dataset grows, AlloyDB updates centroids and splits large outlier partitions to provide better QPS and search results. For more information, see [Maintain indexes automatically](https://cloud.google.com/alloydb/docs/ai/maintain-vector-indexes#maintain-index-automatically).