This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact AWS Training and Certification Customer Support.
In this course, you will learn how to build cost-effective Retrieval Augmented Generation (RAG) applications using Amazon Bedrock Knowledge Bases and Amazon S3 Vectors. You'll discover how to reduce vector storage costs by up to 90% while maintaining subsecond query performance for large-scale knowledge bases.
This course will guide you through the complete process of integrating Amazon S3 Vectors with Amazon Bedrock Knowledge Bases, from initial setup to testing and deployment. You'll gain hands-on experience with cost-optimized vector storage solutions that scale to handle millions of documents.
