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RAG Q&A with Bedrock and Astra - Building Intelligent Systems

Offered By: Linux Foundation via YouTube

Tags

Amazon Web Services (AWS) Courses Apache Cassandra Courses Vector Databases Courses Scalable Systems Courses Amazon Bedrock Courses Retrieval Augmented Generation Courses

Course Description

Overview

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Discover how to build intelligent Q&A systems using Retrieval-Augmented Generation (RAG) by integrating Apache Cassandra's DataStax AstraDB with Amazon Bedrock. Learn to configure Apache Cassandra for efficient vector data storage, leverage Amazon Bedrock's AI models for contextual understanding, and implement a scalable system for real-time AI responses. Gain insights into enhancing AI applications with robust data infrastructure, strategies for secure and scalable AI deployments on AWS, and a blueprint for integrating RAG into existing data systems to improve query accuracy. This technical presentation focuses on combining the power of Apache Cassandra and Amazon Bedrock to create AI-enhanced applications that are scalable, secure, and intelligent.

Syllabus

RAG Q and A with Bedrock and Astra - Who died in Romeo and Juliet? - Kirsten Hunter, Datastax


Taught by

Linux Foundation

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