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Managing Data for GenAI with Bedrock Knowledge Bases

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Overview

Build the data foundation that powers intelligent AI applications! Learn to create and configure Bedrock Knowledge Bases, efficiently upload and process documents, implement vector storage solutions with S3, and build robust retrieval systems. Discover how to structure, store, and access your organization's knowledge to fuel more accurate and contextual AI responses.

Syllabus

Unit 1: Setting Up Vector Storage

Create Your First Vector Storage
Creating Your Vector Index Foundation
Discovering Your Vector Indexes
Debug Vector Storage Workflow

Unit 2: Converting Documents into Vectors

Building Your Document Reader
Building Your First Embedding Request
Assembling Vector Data Structures
Completing Your Vector Pipeline

Unit 3: Creating a Knowledge Base

Building Your First Knowledge Base
Building Smart Search Foundations
Complete Your Knowledge Base
Handling Creation Results
Building Complete Knowledge Base Pipeline

Unit 4: RAG Querying Workflows

Transform Text into Searchable Vectors
Building Your First Vector Search
Building Your RAG Answer Engine
Extracting Answers and Source Citations

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