DataStax at
AWS re:Invent 2024
What a week! We shared how industry leaders are reducing AI development time by 60%. Take a look at how teams are building AI Agents, ingesting and vector embedding millions of records 15x faster, and improving AI accuracy.
LAS VEGAS, NV • North America • Booth #1328
Join Us
Follow Up with the DataStax Team
If you weren't able to book time during re:Invent, there’s still time to meet with technical architects from DataStax to discuss building and deploying AI apps, Apache Cassandra® workloads, or your enterprise data needs.
Shape the Wild: GenAI Experience with DataStax and NVIDIA
Thanks to everyone who attended our high-energy immersive AI experience!
DataStax Is Now an AWS Generative AI Partner, Paving the Way for Customer Success
Learn MoreLive at 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
Building RAG Apps using DataStax Langflow with AWS Bedrock
Darlene Volas
VP, Global Field Engineering
Deploying Cassandra using Amazon Elastic Kubernetes Service
Aaron Ploetz
Developer Relations Engineer
Build and Deploy a Multi-Agent Application with Langflow
David Jones-Gilardi
Developer Relations Engineer
Creating Better Search for Wikipedia using NVIDIA and DataStax AI
Carter Rabasa
Head of Developer Relations
Coding Semantic Search and Generative UI using Amazon Bedrock, the DataStax AI Platform and Next.js
Phil Nash
Developer Relations Engineer
How We Built an AI-based Trivia Web App using Langflow and JavaScript
David Jones-Gilardi
Developer Relations Engineer
Phil Nash
Developer Relations Engineer
Building RAG from Unstructured Data with Unstructured Platform and Astra DB
Maria Khalusova
Staff Developer Advocate at Unstructured