Webinar: What’s new in ArangoDB 3.6? OneShard deployment, AQL performance improvements and enhanced ArangoSearch capabilities The slides from this Webinar can be found here. Version 3.6 comes with a new OneShard deployment which is designed for use cases where you don’t need horizontal scalability, but still rely on high availability, fault tolerance and query performance…

Webinar: What to expect from ArangoDB’s Managed Service  Thursday, November 14, 2019, 10am PT | 1pm ET | 7pm CET The long-awaited Managed Service for ArangoDB is finally here! Users have a fully managed document, graph, and key/value store, plus a search engine, in one place. As we thought of such a powerful service — something that…

Hacktoberfest – Intro to Knowledge Graphs Meetup October 16, 2020 – 10am PDT/ 1pm EDT/ 7pm CEST Have you ever wondered how Google is able to provide those little information cards when you do a search? How about how Wikipedia is able to catalog the world’s information and make it useful to humans? Well, in…

Webinar Recording: Graph Analytics with ArangoDB The slides of this webinar are available here. Many powerful Machine Learning algorithms are based on graphs, e.g., Page Rank, Recommendation Engines (collaborative filtering), text summarization and other NLP tasks. In this hands-on workshop, ArangoDB Head of Engineering Jörg Schad and Developer Relations Engineer Chris Woodward explore a number…

Webinar Recording: Getting Started with ArangoDB ArangoGraph The slides of this webinar are available here. Looking to move to the cloud this year? Curious to get a glimpse of ArangoGraph, the easiest way to run ArangoDB? Ewout Prangsma, ArangoDB ArangoGraph Architect and Team Lead, provides a walk-through on how to get started, as well as get…

Webinar Recording: ArangoDB Q1 Community Townhall 2022 Join the ArangoDB community for an interactive gathering with our CTO Joerg Schad. Our quarterly community town halls are an opportunity to stay up to date with the latest ArangoDB news, get a preview of what’s coming next, and provide us with feedback on how to continue improving…

In this workshop, join Machine Learning Research Engineer Sachin Sharma and learn how to use Nvidia’s Triton Inference server (formerly known as TensorRT Inference Server), which simplifies the deployment of AI models at scale in production. We focus on hosting/deploying multiple trained models (Tensorflow, PyTorch) on the Triton inference server to leverage its full potential…

Workshop: Serving AI Models at Scale with Nvidia Triton In this workshop, join Machine Learning Research Engineer Sachin Sharma and learn how to use Nvidia’s Triton Inference server (formerly known as TensorRT Inference Server), which simplifies the deployment of AI models at scale in production. We focus on hosting/deploying multiple trained models (Tensorflow, PyTorch) on…

So far we have heard a lot about Convolutional Neural Networks (CNNs) which is a well-known method to handle euclidean data structures (like images, text, speech, and time series). However, in the real world, we are also surrounded by non-euclidean data like graphs, and a machine learning method to handle this type of data is…

Workshop: Graph ML, NVIDIA Triton, and ArangoDB: Thinking Beyond Euclidean Space So far we have heard a lot about Convolutional Neural Networks (CNNs) which is a well-known method to handle euclidean data structures (like images, text, speech, and time series). However, in the real world, we are also surrounded by non-euclidean data like graphs, and…