Retrieval-Augmented Generation (RAG) with Amazon Bedrock

Retrieval-Augmented Generation (RAG) with Amazon Bedrock
Retrieval-Augmented Generation (RAG) with Amazon Bedrock

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
Bedrock
S3 logoS3
Secrets Manager
RDS
IAM logoIAM