Скачать или смотреть Retrieval Augmented Generation (RAG) on AWS Bedrock | Build a Real Knowledge Base using AWS Bedrock

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In this video, we’ll dive into the implementation of Retrieval Augmented Generation (RAG), a powerful AI workflow designed to improve the quality of AI-generated responses using AWS Bedrock.

If you're an AI engineer or cloud architect aiming to land high-paying jobs in the field, this video will walk you through everything you need to know to implement RAG in an AWS environment.

We cover the full RAG workflow, including how to manage your data source, process it with chunking and parsing techniques, configure an embedding model, and store your data in a vector store using OpenSearch Serverless.

You'll also get hands-on experience setting up an S3 bucket and connecting it to the knowledge base, with a focus on cost-effective implementation.

⏱️Timestamps

00:00 - 01:19 Course Introduction & Context
01:19 - 02:48 RAG Architecture Overview
02:48 - 04:13 AWS Implementation Setup
04:13 - 07:05 Hands-on Lab Walkthrough
07:05 - 08:25 Technical Deep Dive
09:44 - 11:15 Embedding Model Configuration
12:38 - 14:01 Testing and Validation
15:35 - 17:26 Results Analysis
17:26 - 19:16 Cost Management & Cleanup

🎯This tutorial emphasizes:

👉Setting up AWS Bedrock Knowledge Base: Learn how to configure your IAM roles, S3 bucket, and OpenSearch service for seamless integration and data storage.
👉Chunking and Parsing: Understand these critical interview topics and how to apply them to break down large datasets for optimal AI performance.
👉Embedding Models: We recommend Text Embedding Version 2 for embedding your data and configuring it for efficient querying in semantic search.
👉Cost Management: Learn how to avoid unnecessary charges by deleting your knowledge base and OpenSearch collection after testing.

By the end of this video, you’ll have hands-on experience with a real-world AI implementation using AWS tools, making you more prepared for technical interviews and boosting your career prospects in AI and cloud architecture.

Make sure to watch the whole video to get all the details and register for our free masterclass for a complete roadmap to landing high-paying AI jobs!

🔥Break Into AI/ML, GenAI, Agentic AI, Data Science with the 3 Proven Steps to a $250K+ Job!
👉Register For Our FREE Masterclass Today: https://visit.k21academy.com/g6a

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