Building a RAG Solution Using an S3 Vector Bucket

Building a RAG Solution Using an S3 Vector Bucket
Building a RAG Solution Using an S3 Vector Bucket

CLOUD LABS



Building a RAG Solution Using an S3 Vector Bucket

In this lab, you’ll build a serverless FAQ retrieval system using Amazon Bedrock Knowledge Bases and S3 Vectors. This challenge-based exercise is designed for hands-on practice; step-by-step instructions will not be provided.

1 Task

beginner

1hr

Certificate of Completion

Desktop OnlyDevice is not compatible.
No Setup Required
Amazon Web Services

Technology
Bedrock
Cloud Lab Overview

Amazon S3, Amazon Bedrock Knowledge Bases, and Amazon S3 Vectors form a powerful architecture for building serverless semantic FAQ systems. Together, they enable the ingestion of documents, the embedding generation, and the retrieval of relevant answers based on natural language queries.

In this Challenge Cloud Lab, you’ll be required to implement a fully managed FAQ retrieval system using the required resources like an S3 bucket, a vector bucket, and a Bedrock knowledge base.

A high-level architecture diagram for this Challenge Cloud Lab is given below:

RAG-based FAQ search using S3 Vectors
RAG-based FAQ search using S3 Vectors

AWS services you’ll be tested on:

  • Amazon S3

  • Amazon Bedrock Knowledge Bases

  • Amazon S3 Vectors

Cloud Lab Tasks
RAG Using S3 Vector Buckets
Labs Rules Apply
Stay within resource usage requirements.
Do not engage in cryptocurrency mining.
Do not engage in or encourage activity that is illegal.

Relevant Course

Use the following content to review prerequisites or explore specific concepts in detail.

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