Amazon S3 Vectors
Cost-optimized AI-ready storage with native support for storing and querying vectors at scale
What is S3 Vectors?
Amazon S3 Vectors delivers purpose-built, cost-optimized vector storage and query for AI agents, AI inference, and semantic search of your content stored in Amazon S3. 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 billions of vectors and search data with sub-second query performance. With S3 Vectors, you benefit from a dedicated set of APIs to store, access, and query vectors without provisioning any infrastructure. It's ideal for applications that need to build and maintain vector indexes at scale so you can organize and search through massive amounts of information.
Benefits
Reduce the cost of uploading, storing, and querying vectors while maintaining sub-second query performance. Transform your economics of storing millions to billions of vectors by moving away from costly storage options and paying only for what you use. Efficiently scale massive amounts of vectors without infrastructure management, organizing data using vector indexes that accommodate evolving workloads with zero provisioning. Designed for vector-driven AI use cases, S3 Vectors offers a practical balance of performance and efficiency.
Generate fine-grained vector embeddings to gain deeper understanding from unstructured data including images, videos, audio, and text. Elastically scale for vector search applications to improve granularity based on semantic similarity. Whether analyzing news content, indexing sports highlights, or working with medical images and genomic data, S3 Vectors supports high-volume workloads with consistent query performance and flexible scaling.
Use S3 Vectors for large, long-term vector data that doesn't require the high-throughput performance of in-memory vector databases. While Amazon OpenSearch Service delivers the high-QPS (query per second), low-latency vector search needed for real-time applications, S3 Vectors complements this by providing a cost-optimized data foundation with query performance optimized for long-term storage and infrequent access of data. You also benefit from a storage architecture with strong consistency guarantees, ensuring subsequent queries always include your most recently added data.
Use cases
Pinpoint search results based on semantic meaning and similarity
Perform semantic and similarity searches across large volumes of vector datasets. Media organizations can index millions of hours of video to instantly surface relevant scenes for highlight reels, while healthcare providers can store billions of vector embeddings representing medical images to identify similar cases and accelerate diagnosis. With S3 Vectors, you can unlock the semantic value of unstructured data at a lower cost without compromising scale.
Reduce Retrieval Augmented Generation (RAG) costs
Lower the cost of RAG with S3 Vectors. Turn your proprietary datasets into intelligent knowledge stores with contextual awareness by using your RAG applications. Quickly build and customize generative AI applications with access to scalable, cost-effective vector storage in S3 Vectors, which you can integrate with your choice of foundation models and knowledge base solutions through APIs and SDKs.
Build smarter AI agents with expanded and lasting memory
Make your AI agents more intelligent by retaining more context, reasoning with richer data, and building lasting memory from affordable, large-scale vector storage. Store every interaction, document, and insight across petabytes of vector data at low cost, so agents won’t be forced to forget valuable context. Support continual learning, historical context, retraining, and fine-tuning to drive deeper agent intelligence. Whether for agent memory or similarity search across massive AI datasets, S3 Vectors provides a cost-effective data foundation for storing and retrieving vectors at any scale.
AI-ready storage for development at any scale
Store and quickly access any amount of vector data to jump-start your AI projects. With no infrastructure setup required, S3 Vectors allows you to put your data to work and begin AI development immediately. It is also built to handle demanding storage requirements for sophisticated AI applications. Whether you're building personalization engines, natural language processing systems, or navigating through large code bases, S3 Vectors provides cost-optimized AI-ready storage that scales to meet your needs—accelerating AI innovation at every step, from prototype to production.
