From the course: AWS Certified Advanced Networking - Specialty (ANS-C01) Cert Prep

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Vector management with Amazon S3 Vectors

Vector management with Amazon S3 Vectors - Amazon Web Services (AWS) Tutorial

From the course: AWS Certified Advanced Networking - Specialty (ANS-C01) Cert Prep

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Vector management with Amazon S3 Vectors

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- [Narrator] Imagine being able to store, search and query vector embeddings, right inside Amazon S3 without needing a separate vector database. That's exactly what Amazon S3 vectors makes possible. It's designed to help you manage large scale, AI ready data with built in support for semantics search and vector similarity queries. In this video, we'll explore how S3 vectors works, create a vector bucket from the AWS console, use Amazon bedrock to generate embeddings and perform semantic searches, all using just S3, Bedrock and a simple CLI tool. Amazon S3 Vectors is a purpose-built, durable vector storage solution that's currently in preview. It's designed for storing high dimensional numerical data, known as vector embeddings, the kind of data generated by AI models to represent text, images or other unstructured content. Unlike regular S3 buckets that handle objects like files, S3 vector buckets handle embeddings directly,…

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