DataStax at
AWS re:Invent 2024
Featured Sessions
From Prototype to Production: Build a RAG Application Using DataStax + AWS
DataStax offers a comprehensive platform to accelerate AI application development and deployment that supports RAG applications from prototype to production with high relevancy, low latency, and scalability. In this workshop, you will learn more about Retrieval Augmented Generation (RAG); learn to use DataStax Astra DB, Langflow and Amazon Bedrock; and ultimately build an end-to-end RAG GenAI chatbot.
How Not to Fail at AI: Bring AI to Life with DataStax, NVIDIA, and Wikimedia
DataStax, NVIDIA, and Wikimedia discussed how you can reduce AI development time by up to 60%, and hear how two developers were able to ingest, chunk, and vectorize one of the world’s largest and most complex datasets in just 3 days, 10x faster than other solutions. Some technologies covered will be Langflow, Amazon Bedrock, Amazon Q, AWS Graviton, and the DataStax AI Platform, built with NVIDIA AI.
Theater Sessions
10:30 AM - 5:50 PM PST
Building RAG Apps using DataStax Langflow with AWS Bedrock
with Darlene Volas
Deploying Cassandra using Amazon Elastic Kubernetes Service
with Aaron Ploetz
Build and Deploy a Multi-Agent Application with Langflow
with David Jones-Gilardi
Creating Better Search for Wikipedia using NVIDIA and DataStax AI
with Carter Rabasa
Coding Semantic Search and Generative UI using Amazon Bedrock, the DataStax AI Platform and Next.js
with Phil Nash
How We Built an AI-based Trivia Web App using Langflow and JavaScript
with David Jones-Gilardi, Phil Nash
Building RAG from Unstructured Data with Unstructured Platform and Astra DB
with Maria Khalusova
