Amazon OpenSearch Serverless now supports Disk-Optimized Vectors

We are excited to announce the launch of disk-optimized vector support for Amazon OpenSearch Serverless, offering customers a cost-effective solution for vector search operations without compromising on accuracy and recall rates. This new feature enables organizations to implement high-quality vector search capabilities while significantly reducing operational costs. With the introduction of Disk Optimized Vectors, customers can now choose between memory-optimized and disk-optimized vector storage options. The disk-optimized option delivers the same high accuracy and recall rates as memory-optimized vectors at lower cost. While this option may introduce slightly higher latency, it's ideal for use cases where sub-millisecond response times aren't critical such as semantic search applications, recommendation systems, and other AI-powered search scenarios. Amazon OpenSearch Serverless, our fully managed deployment option, eliminates the complexities of infrastructure management for search and analytics workloads. The service automatically scales compute capacity, measured in OpenSearch Compute Units (OCUs), based on your workload demands. Please refer to the [AWS Regional Services List](https://docs.aws.amazon.com/general/latest/gr/opensearch-service.html#opensearch-service-regions) for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, [see the documentation.](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/serverless.html)