The alloydb_scann extension version 0.1.3 is updated to include the following vector search improvements in (Preview)

## Announcement The `alloydb_scann` extension version `0.1.3` is updated to include the following vector search improvements in ([Preview](https://cloud.google.com/products#product-launch-stages)): * You can now [automatically create ScaNN indexes](https://cloud.google.com/alloydb/docs/ai/create-scann-index) that are optimized for search performance or for a balance between index build times and search performance with the auto index feature. * AlloyDB AI's [adaptive filtering](https://cloud.google.com/alloydb/docs/ai/adaptive-filtering) for filtered vector searches now dynamically switches between pre-filtering and inline filtering. This enhancement further optimizes query performance by allowing the query optimizer to dynamically choose the most efficient filtering strategy. For more information, see [Activate adaptive filtering in AlloyDB AI](https://cloud.google.com/alloydb/docs/ai/activate-adaptive-filtering). * AlloyDB AI now [integrates ScaNN indexes with the columnar engine](https://cloud.google.com/alloydb/docs/columnar-engine/configure#configure-index-cache). You can now accelerate your vector similarity search by [loading ScaNN indexes into the columnar engine](https://cloud.google.com/alloydb/docs/columnar-engine/manage-content-manually#manage-index-cache). * The `alloydb_scann` extension now provides a satisfy limit feature that improves query recall for vector searches. If a search returns fewer results than specified in the `LIMIT` clause, the scan continues until the `LIMIT` is met or a configured upper bound is reached. To enable this feature, set the [scann.satisfy\_limit](https://cloud.google.com/alloydb/docs/reference/ai/scann-index-reference#scann-satisfy-limit) flag to `relaxed order`. You can also use the [scann.max\_pct\_leaves\_to\_search](https://cloud.google.com/alloydb/docs/reference/ai/scann-index-reference#scann-max-pct-leaves-to-search) flag to configure the upper bound for the search. * You can enable vector search index recommendations for Scalable Nearest Neighbors (ScaNN) indexes using the AlloyDB index advisor. For more information, see [Use the AlloyDB index advisor with query insights](https://cloud.google.com/alloydb/docs/use-index-advisor-with-query-insights#enable-extensions) or [View the index advisor's index recommendations](https://cloud.google.com/alloydb/docs/use-index-advisor#view-recommendations). * You can configure automatic index maintenance using the following flags: * [scann.max\_background\_workers](https://cloud.google.com/alloydb/docs/reference/alloydb-flags#scann.max%5Fbackground%5Fworkers) flag to control the number of background workers and increase throughput across multiple indexes. * [scann.maintenance\_background\_naptime\_s](https://cloud.google.com/alloydb/docs/reference/alloydb-flags#scann.maintenance%5Fbackground%5Fnaptime%5Fs) flag to control the minimum delay between maintenance runs.