Estimated reading time: 1 minutes
Estimated reading time: 1 minute
Today we are excited to announce that ArangoGraph, the ArangoDB Managed Service, is available for purchase in the AWS Marketplace. With this announcement, ArangoGraph can now be purchased directly via both AWS and GCP.
The AWS Marketplace provides an extensive catalog of software solutions for users to easily explore, test, buy, and deploy on AWS. If you’re an AWS customer, here’s what this announcement means for you:
Estimated reading time: 5 minutes
Estimated reading time: 5 minutes
Understanding Large Language Models (LLMs) and Knowledge Graphs
Today, two very different technology concepts have become prominent in data analysis and predictive analytics: Knowledge Graphs and Large Language Models (LLMs). These domains each have their unique benefits, and influence the ways that we engage with and derive meaningful insights from constantly expanding and complex datasets. They are like the Odd Couple – better together than on their own!
Estimated reading time: 1 minutes
Estimated reading time: 10 minutes
We are proud to announce the GA 1.0 release of the ArangoDB-PyG Adapter!
The ArangoDB-PyG Adapter exports Graphs from ArangoDB, the multi-model database for graph & beyond, into PyTorch Geometric (PyG), a PyTorch-based Graph Neural Network library, and vice-versa.
On July 29 2022, we introduced the first release of the PyTorch Geometric Adapter to the ArangoML community. We are proud to have PyG as the fourth member of our ArangoDB Adapter Family. You can expect the same developer-friendly adapter options and a helpful getting-started guide via Jupyter..
Estimated reading time: 10 minutes
Estimated reading time: 10 minutes
Multiple data science personas participate in the daily operations of data logistics and intelligent business applications. Management and employees need to understand the big picture of data science to maximize collaboration efforts for these operations. This article will highlight the specialized roles and skillsets needed for the different data science tasks and the best tools to empower data-driven teams. You will come away from this article with a better understanding of how to support your own data science teams, and it is valuable for both managers..
Estimated reading time: 1 minutes
Estimated reading time: 20 minutes
In this blog post, we will build a complete movie recommendation application using ArangoDB and PyTorch Geometric. We will tackle the challenge of building a movie recommendation application by transforming it into the task of link prediction. Our goal is to predict missing links between a user and the movies they have not watched yet.
Run this notebook yourself: https://colab.research.google.com/github/arangodb/interactive_tutorials/blob/master/notebooks/Integrate_ArangoDB_with_PyG.ipynb
Estimated reading time: 1 minutes
Estimated reading time: 15 minutes
We are proud to announce the GA 1.0 release of the ArangoDB-DGL Adapter!
The ArangoDB-DGL Adapter exports Graphs from ArangoDB, a multi-model Graph Database, into Deep Graph Library (DGL), a python package for graph neural networks, and vice-versa.
On December 30th, 2021, we introduced to the ArangoML community our first release of the DGL Adapter for ArangoDB. We worked closely with our existing ArangoDB-NetworkX Adapter implementation to aim for a consistent UX across our (growing) Adapter Family. You can expect the same developer-friendly options, along..
Estimated reading time: 1 minutes
Estimated reading time: 18 minute
We are proud to announce the GA 3.0 release of the ArangoDB-NetworkX Adapter!
The ArangoDB-Networkx Adapter exports Graphs from ArangoDB, a multi-model Graph Database, into NetworkX, the swiss army knife for graph analysis with python, and vice-versa.
Back in November 2021, we (quietly) released its 1.0 distribution, which overhauled the adapter in its entirety. We refactored its existing feature of converting ArangoDB graphs to NetworkX, and introduced the ability to convert NetworkX graphs to ArangoDB, via a range of developer-friendly options. It’s also..
Estimated reading time: 4 minutes
Estimated reading time: 4 minutes
As the new year begins, It’s time to take a step back and reflect on 2021. 2021 was a big year for ArangoDB, and none of it would have been possible without the hard work and dedication of our team, as well as the continuous support from our community. This blog post recaps a few of our favorite moments from the last year and to get excited about what 2022 has in store for ArangoDB.
Series B Funding
2021 ended on a strong note with our announcement in early October that we raised a $27.8 million Series B funding round led by Iris Capital. This milestone is..
Estimated reading time: 7 minutes
Estimated reading time: 7 minutes
Hello! I’m Cris Miranda, the community manager at ArangoDB, and I make sure ArangoDB has a vibrant, wholesome, and ever-growing community of amazing people. I want to share some tips and advice based on valuable lessons we’ve learned from our first-ever virtual developers’ conference.
In this short blog post, you’ll learn about how to avoid the common pitfall of ‘feature creep’ as well as gain tips on navigating virtual events platforms. I also teach you how you and your team can move together in synchronicity while keeping your goals as your guiding..
Estimated reading time: 1 minutes
Estimated reading time: 15 minute
This blog post provides a comprehensive study on the theoretical and practical understanding of GraphSage, this notebook will cover:
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