Amazon Bedrock Knowledge Bases now supports natural language querying to retrieve structured data from your data sources. Using advanced natural language processing, Bedrock Knowledge Bases can transform natural language queries into SQL queries, execute the query against the database, and return the results in a summarized narrative response. In this demo, we showcase how you can set up Bedrock Knowledge Base with a structured data store using some sample data. What you’ll learn in this video: * How to set up Bedrock Knowledge Bases for Structured Data Retrieval * Understand how Bedrock interacts with your structured data stores to convert natural language into SQL queries * Calling AWS Bedrock API/SDK for Bedrock Knowledge Bases Structured Data Retrieval Learn more: * * * Timestamps: 0:00 - Intro to Amazon Bedrock Structured Data Retrieval 1:46 - Demo Information 2:46 - Exploring the current tables in Redshift 3:29 - Setting up Bedrock Knowledge Base for structured data store 5:55 - Testing Knowledge Base 10:48 - Using AWS Bedrock API/SDK for Bedrock Knowledge Bases Structured Data Retrieval 11:49 - Wrapping Up Build a knowledge base by connecting to a structured data store - Subscribe to AWS: Sign up for AWS: AWS free tier: Explore more: Contact AWS: Next steps: Explore on AWS in Analyst Research: Discover, deploy, and manage software that runs on AWS: Join the AWS Partner Network: Learn more on how Amazon builds and operates software: Do you have technical AWS questions? Ask the community of experts on AWS re:Post: Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster. #Bedrock #Redshift #GenerativeAI #AWS #AmazonWebServices #CloudComputing