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
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Live at re:Invent 2024

Featured Sessions

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Workshop

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.

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Customer Panel

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

Darlene Volas
VP, Global Field Engineering

Deploying Cassandra using Amazon Elastic Kubernetes Service

Aaron Ploetz

Aaron Ploetz
Developer Relations Engineer

Build and Deploy a Multi-Agent Application with Langflow

David Jones-Gilardi

David Jones-Gilardi
Developer Relations Engineer

Creating Better Search for Wikipedia using NVIDIA and DataStax AI

Carter Rabasa

Carter Rabasa
Head of Developer Relations

Coding Semantic Search and Generative UI using Amazon Bedrock, the DataStax AI Platform and Next.js

Phil Nash

Phil Nash
Developer Relations Engineer

How We Built an AI-based Trivia Web App using Langflow and JavaScript

David Jones-Gilardi

David Jones-Gilardi
Developer Relations Engineer

Phil Nash

Phil Nash
Developer Relations Engineer

Building RAG from Unstructured Data with Unstructured Platform and Astra DB

Maria Khalusova

Maria Khalusova
Staff Developer Advocate at Unstructured

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