Amazon Web Services has launched S3 Vectors, a new feature for its S3 cloud object storage, aimed at significantly reducing the costs associated with uploading, storing, and querying vectorized data for AI applications by up to 90%. This service allows customers to efficiently store and search large volumes of vectors, enhancing semantic search capabilities. Each S3 Vectors bucket can handle up to 10,000 vector indexes, with tens of millions of vectors per index. Additionally, S3 Vectors integrates with Amazon Bedrock and OpenSearch, simplifying infrastructure requirements by offering a cost-effective alternative to traditional vector databases.
Amazon Web Services has launched S3 Vectors, a new storage solution that dramatically cuts the cost of handling vectorized data in AI by as much as 90%.
S3 Vectors allows users to store large volumes of vectors cost-effectively and execute semantic searches, streamlining the retrieval of related information.
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