Announcing Amazon S3 Vectors (Preview)—First cloud object storage with native support for storing and querying vectors
Amazon S3 Vectors delivers purpose-built, cost-optimized vector storage for AI agents, AI inference, and semantic search of your content stored in Amazon S3. By reducing the cost of uploading, storing, and querying vectors by up to 90%, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as semantic search results of your S3 data. Designed to provide the same elasticity, scale, and durability as Amazon S3, S3 Vectors lets you store and search data with sub-second query performance. It's ideal for applications that need to build and maintain vector indexes so you can organize and search through massive amounts of information. S3 Vectors provides a simple and flexible API for operations such as finding similar scenes in petabyte-scale video archives, identifying collections of related business documents, or detecting rare patterns in diagnostic collections including millions of medical images.
S3 Vectors is natively integrated with Amazon Bedrock Knowledge Bases so that you can reduce the cost of using large vector datasets for retrieval-augmented generation (RAG). You can also use S3 Vectors with Amazon OpenSearch Service to lower storage costs for infrequent queried vectors, and then quickly move them to OpenSearch as demands increase or to enhance search capabilities.
S3 Vectors introduces a new bucket type optimized for durable, low-cost vector storage. It includes a dedicated set of APIs for you to store, access, and query vectors without provisioning any infrastructure. Within a vector bucket, you can organize vector data within vector indexes and elastically scale up to 10,000 indexes per bucket. When creating a Knowledge Base in Amazon Bedrock or Amazon SageMaker Unified Studio, you can select an S3 vector index as your vector store or use the Quick Create workflow to set one up. Within OpenSearch, you can adopt a tiered strategy to store large vector datasets in S3 for near real-time access while effortlessly activating the vector data with the highest performance requirements in OpenSearch.
Amazon S3 Vectors preview is now available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), and Europe (Frankfurt) Regions. To learn more, visit the product page, S3 pricing page, documentation, and AWS News Blog.