Shaping the Wild in Las Vegas: An AWS re:Invent Recap

Over the past few years, we’ve built a fruitful partnership with AWS, one that empowers  developers with an AI platform that simplifies and streamlines building, deploying, and scaling generative AI applications at any scale on AWS.

So it only seemed fitting that we make a big splash at the biggest AWS event of the year. Our primary goal: showcase how the DataStax AI platform, with the help of partners like AWS and NVIDIA, helps developers get applications to production quickly and without the hassles that often come with these projects. Here are some highlights from our time at AWS re:Invent last week!

 

Wikidata, NVIDIA, and DataStax

Wikidata, the central repository for structured data across all of Wikimedia’s projects, offers one of the largest and most reliable linked open datasets globally. So we were super excited to unveil a powerful collaboration with Wikimedia Deutschland to leverage the DataStax AI Platform, built with NVIDIA AI to make Wikidata available to developers as an embedded vectorized database. Our chief product officer, Ed Anuff, hosted a panel Tuesday with Wikimedia’s Philippe Saadé and Lydia Pintscher and Erik Pounds from NVIDIA to discuss the project. 

As Saadé put it, “With the DataStax AI Platform, we were able to do what used to take us 30 days, in three days.”

Demos, demos, demos

Visitors to our booth (you really couldn’t miss it – check out the picture below) got to see Astra DB, our cloud-native database-as-a-service, and Langflow, our drag-and-drop, low-code development environment for building generative AI and retrieval-augmented generation apps, in action.

We also hosted a two-hour, hands-on workshop that walked through building a retrieval-augmented generation (RAG) app using DataStax and AWS, along with a half-dozen sessions on topics ranging from deploying Apache Cassandra using Amazon Elastic Kubernetes Service to building RAG apps with our partner Unstructured. 

 

 

To illustrate the power of Langflow, our developer relations team also demonstrated how we built Unreel, an AI-based trivia web app, using the IDE. Langflow helped the team create the app (by enabling experimentation in flows and with different components), and deploy it (by hooking into Langflow via the API). You can check out Unreel for yourself and give it a try! 

A big thank you to everyone who stopped by our booth (and the hundreds who joined our happy hour), to our customers, including Wikimedia Deutschland, and to AWS and all of our amazing partners.