RAG Q and A with Bedrock and Astra – Who died in Romeo and Juliet? – Kirsten Hunter, Datastax
RAG Q and A with Bedrock and Astra – Who died in Romeo and Juliet? – Kirsten Hunter, Datastax
Explore the integration of Apache Cassandra using DataStax AstraDB with Amazon Bedrock to empower Retrieval-Augmented Generation (RAG) for intelligent Q&A systems:
Understand how to leverage Apache Cassandra’s scalable architecture with Amazon Bedrock’s advanced AI models for dynamic Q&A systems.
Key points will include:
Configuring Apache Cassandra for efficient vector data storage.
Harness Amazon Bedrock’s AI models to augment data retrieval with contextual understanding.
Implementing a scalable system for real-time AI responses.
Attendees will leave with:
A blueprint for integrating RAG into their existing data systems for enhanced query accuracy.
Strategies for enhancing AI applications with robust data infrastructure.
Techniques for secure and scalable AI deployments on AWS.
This presentation will focus on the technical details of building AI-enhanced applications that are scalable, secure, and smart using the combined power of Apache Cassandra and Amazon Bedrock.
by The Linux Foundation
linux foundation
