Getting started with Amazon S3 Vectors | Amazon Web Services

In this video, we dive into Amazon S3 Vectors, a powerful new capability that enables you to store, search, and retrieve vector embeddings directly within S3. We demonstrate how S3 Vectors eliminates the need for separate vector databases, allowing you to manage embeddings alongside your original data. In this video we will walk through two practical examples of implementing semantic search using S3 Vectors and integration with Amazon Bedrock. Perfect for AI/ML developers building GenAI applications.

Subscribe to AWS: https://go.aws/subscribe

Sign up for AWS: https://go.aws/signup
AWS free tier: https://go.aws/free
Explore more: https://go.aws/more
Contact AWS: https://go.aws/contact

Next steps:
Explore on AWS in Analyst Research: https://go.aws/reports
Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace
Join the AWS Partner Network: https://go.aws/partners
Learn more on how Amazon builds and operates software: https://go.aws/library

Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.

#AmazonS3 #AWS #AmazonWebServices #CloudComputing

Leave a Reply

error: Content is protected !!