CLOUD LABS
Retrieval-Augmented Generation (RAG) with Amazon Bedrock
In this Cloud Lab, you’ll learn to configure an Aurora RDS cluster as a vector store. You’ll also set up an Amazon Bedrock Knowledge Base to enable advanced data retrieval techniques for RAG.
8 Tasks
beginner
1hr 30m
Certificate of Completion
Desktop OnlyDevice is not compatible.
No Setup Required
Amazon Web Services
Learning Objectives
Hands-on experience connecting to an RDS cluster and configuring it for vector data storage
An understanding of how to set up an RDS vector store database using PostgreSQL
The ability to create and manage an Amazon Bedrock Knowledge Base
The ability to synchronize a data source and test data retrieval from a Bedrock Knowledge Base
Understanding of retrieval-augmented generation (RAG) to enhance query responses using generative AI
Technologies
S3
IAM
Bedrock
Secrets Manager
RDS
Desktop Only
No Setup Required
Amazon Web Services
Labs Rules Apply
Stay within resource usage requirements.
Do not engage in cryptocurrency mining.
Do not engage in or encourage activity that is illegal.