Amazon S3 Vectors is now generally available with 40 times the scale of preview

Amazon S3 Vectors Generally Available

Amazon S3 Vectors, the first cloud object storage with native support to store and query vectors, is now generally available. S3 Vectors delivers purpose-built, cost-optimized vector storage for AI agents, inference, Retrieval Augmented Generation (RAG), and semantic search at billion-vector scale.

With general availability, you can store and query up to two billion vectors per index and elastically scale to 10,000 vector indexes per vector bucket. Infrequent queries continue to return results in under one second, with more frequent queries now resulting in latencies around 100 milliseconds or less. Your application can achieve write throughput of 1,000 vectors per second when streaming single-vector updates into your indexes, retrieve up to 100 search results per query, and store up to 50 metadata keys alongside each vector for fine-grained filtering in your queries.

What to do

• Store and query up to two billion vectors per index
• Elastically scale to 10,000 vector indexes per vector bucket
• Use S3 Vectors with Amazon Bedrock Knowledge Bases
• Optimize costs for hybrid search workloads with Amazon OpenSearch Service

Source: AWS release notes

If you need further guidance on AWS, our experts are available at AWS@westloop.io. You may also reach us by submitting the Contact Us form.