--- title: ArangoDB Blog | ArangoML description: ArangoML | --- ArangoDB 3.12 Product Release Announcement! Read the blog for details. [Read Blog](https://arangodb.com/2024/03/arangodb-3-12-performance-for-all-your-data-models/) [![logo](https://blog.arangodb.com/hs-fs/hubfs/Imported_Blog_Media/logo.png?width=301&height=50&name=logo.png "logo")](https://arango.ai) ### Why Graph [The Rise of Graph](https://arangodb.com/the-rise-of-graph/) [The Graph ML Gamechanger](https://arangodb.com/the-graph-ml-gamechanger/) [Consolidate to Graph](https://arangodb.com/graph-vs-relational/) [Graph DB Basics](https://arangodb.com/graph-database/) ### Products [Managed Graph DB](https://arangodb.com/arangograph-managedgraphdb/) [Self-Managed Graph DB](https://arangodb.com/arangograph-selfmanaged/) [Managed Graph ML](https://arangodb.com/managed-ml-graph/) [Community Edition](https://arangodb.com/community-server/) [Compare Products](https://arangodb.com/subscriptions/) ### Solutions Use Cases Industries Solution Accelerators - [Cyber/Threat Mgmt](https://arangodb.com/solutions/use-cases/cyber-threat-management/) - [Fraud Detection](https://arangodb.com/solutions/use-cases/fraud-detections/) - [Supply Chain](https://arangodb.com/solutions/use-cases/supply-chain/) - [Network Asset Management](https://arangodb.com/solutions/use-cases/network-asset-management/) - [Customer & Patient 360](https://blog.arangodb.com/solutions/use-case/customer-and-patient-360/) - [Recommendations](https://arangodb.com/solutions/use-cases/recommendations/) - [Case Management](https://blog.arangodb.com/solutions/use-case/case-management/) - [Geospatial Analysis](https://arangodb.com/solutions/use-cases/geospatial/) - [Master Data Mgmt](https://arangodb.com/solutions/use-cases/master-data-management/) - [Software & Technology](https://arangodb.com/arangodb-for-software-tech/) - [Financial Services](https://arangodb.com/arangodb-for-financial-services/) - [Tele Communication](https://arangodb.com/telecommunications-and-network/) - [E-commerce](https://arangodb.com/arangodb-for-e-commerce/) - [Healthcare](https://arangodb.com/arangodb-for-healthcare/) - [Government](https://arangodb.com/arangodb-for-government/) - [Aerospace & Defence](https://arangodb.com/arangodb-for-aerospace-defense/) - [Manufacturing](https://arangodb.com/arangodb-for-manufacturing/) - [Enterprise Knowledge Graphs](https://arangodb.com/resources/white-papers/enterprise-knowledge-graphs/) - [Entity Resolution](https://arangodb.com/entity-resolution/) - [Traceability/Lineage](https://arangodb.com/traceability-and-lineage/) - [Contexual Relevance](https://arangodb.com/contextual-relevance/) ### Developers Capabilities Integrations Differentiators - [Graph Traversals](https://arangodb.com/graph-traversals/) - [Multi-Model DB](https://arangodb.com/multi-model-db/) - [LLM + Knowledge Graph](https://arangodb.com/llm-knowledge-graph/) - [Graph ML](https://arangodb.com/managed-ml-graph/) - [Advanced Geospatial](https://arangodb.com/advanced-geospatial/) - [Document Store](https://arangodb.com/document-store/) - [Search Engine](https://arangodb.com/full-text-search-engine/) - [Security & Compliance](https://arangodb.com/security/) - [Data Masking](https://arangodb.com/Data-masking/) - [Key/Value DB](https://arangodb.com/integrated-key-value-support/) - [Clients / Languages](https://arangodb.com/clients-languages/) - [BI Tools](https://arangodb.com/bi-tools-support/) - [Containers](https://arangodb.com/container-support/) - [Community driven](https://arangodb.com/community-driven/) - [Model Flexibility](https://arangodb.com/model-flexibility/) - [Graph Scalability](https://arangodb.com/graph-scalability/) - [Performance at Scale](https://arangodb.com/performance-at-scale/) - [Highest Availability](https://arangodb.com/highest-availability/) - [Unified Query Language](https://arangodb.com/unified-query-languageaql/) - [Graph + Native Document](https://arangodb.com/graph-document/) - [Graph + Native Search](https://arangodb.com/graph-search/) - [Cost Effective](https://arangodb.com/cost-effective-development-operation/) - [Full Geospatial](https://arangodb.com/full-geospatial/) ### Customers [All Case Studies](https://arangodb.com/solutions/solutions-customers/#all) [Government & Cyber](https://arangodb.com/solutions/solutions-customers/#Government-Cyber) [Manufacturing & Supply Chain](https://arangodb.com/solutions/solutions-customers/#Manufacturing-Supply-Chain) [Healthcare & Science](https://arangodb.com/solutions/solutions-customers/#Healthcare-Science) [Retail & Commerce](https://arangodb.com/solutions/solutions-customers/#Retail-Commerce) [Technology](https://arangodb.com/solutions/solutions-customers/#Technology) [Education](https://arangodb.com/solutions/solutions-customers/#Education) [Telco](https://arangodb.com/solutions/solutions-customers/#Telco) [Financial Services](https://arangodb.com/solutions/solutions-customers/#Financial-Services) ### Learn [Documentation](https://docs.arangodb.com/stable/) [Developer Hub](https://developer.arangodb.com/) [ArangoDB University](https://university.arangodb.com/) [Blog](https://arangodb.com/blog/) [Certification](https://arangodb.com/learn/certification/) [Community](https://arangodb.com/community/) [Events](https://arangodb.com/events/) [Resources](https://arangodb.com/resources/) [Training Center](https://arangodb.com/learn/) ### Company [About Us](https://arangodb.com/about-us/) [Team](https://arangodb.com/about-arangodb/) [Partners](https://arangodb.com/partners/) [News](https://arangodb.com/news/) [Careers](https://arangodb.applytojob.com/apply) ### Pricing - Why Graph - [The Rise of Graph](https://arangodb.com/the-rise-of-graph/) - [The Graph ML Gamechanger](https://arangodb.com/the-graph-ml-gamechanger/) - [Consolidate to Graph](https://arangodb.com/graph-vs-relational/) - [Graph DB Basics](https://arangodb.com/graph-database/) - Products - [Managed Graph DB](https://arangodb.com/arangograph-managedgraphdb/) - [Self-Managed Graph DB](https://arangodb.com/arangograph-selfmanaged/) - [Managed Graph ML](https://arangodb.com/managed-ml-graph/) - [Community Edition](https://arangodb.com/community-server/) - [Compare Products](https://arangodb.com/subscriptions/) - Solutions - Use Cases - [Cyber/Threat Mgmt](https://arangodb.com/solutions/use-cases/cyber-threat-management/) - [Fraud Detection](https://arangodb.com/solutions/use-cases/fraud-detections/) - [Supply Chain](https://arangodb.com/solutions/use-cases/supply-chain/) - [Network Asset Management](https://arangodb.com/solutions/use-cases/network-asset-management/) - [Customer & Patient 360](https://arangodb.com/solutions/use-cases/customer-and-patient-360/) - [Recommendations](https://arangodb.com/solutions/use-cases/recommendations/) - [Case Management](https://arangodb.com/solutions/use-cases/case-management/) - [Geospatial Analysis](https://arangodb.com/solutions/use-cases/geospatial/) - [Master Data Mgmt](https://arangodb.com/solutions/use-cases/master-data-management/) - Industries - [Software & Technology](https://arangodb.com/arangodb-for-software-tech/) - [Financial Services](https://arangodb.com/arangodb-for-financial-services/) - [Tele Communication](https://arangodb.com/telecommunications-and-network/) - [E-commerce](https://arangodb.com/arangodb-for-e-commerce/) - [Healthcare](https://arangodb.com/arangodb-for-healthcare/) - [Government](https://arangodb.com/arangodb-for-government/) - [Aerospace & Defence](https://arangodb.com/arangodb-for-aerospace-defense/) - [Manufacturing](https://arangodb.com/arangodb-for-manufacturing/) - Solution Accelerators - [Enterprise Knowledge Graphs](https://arangodb.com/resources/white-papers/enterprise-knowledge-graphs/) - [Entity Resolution](https://arangodb.com/entity-resolution/) - [Traceability/Lineage](https://arangodb.com/traceability-and-lineage/) - [Contexual Relevance](https://arangodb.com/contextual-relevance/) - Customers - [All Case Studies](https://arangodb.com/solutions/solutions-customers/#all) - [Government & Cyber](https://arangodb.com/solutions/solutions-customers/#Government-Cyber) - [Manufacturing & Supply Chain](https://arangodb.com/solutions/solutions-customers/#Manufacturing-Supply-Chain) - [Healthcare & Science](https://arangodb.com/solutions/solutions-customers/#Healthcare-Science) - [Retail & Commerce](https://arangodb.com/solutions/solutions-customers/#Retail-Commerce) - [Technology](https://arangodb.com/solutions/solutions-customers/#Technology) - [Education](https://arangodb.com/solutions/solutions-customers/#Education) - [Telco](https://arangodb.com/solutions/solutions-customers/#Telco) - [Financial Services](https://arangodb.com/solutions/solutions-customers/#Financial-Services) - Learn - [Documentation](https://docs.arangodb.com/stable/) - [Developer Hub](https://developer.arangodb.com/) - [ArangoDB University](https://university.arangodb.com/) - [Blog](https://arangodb.com/blog/) - [Certification](https://arangodb.com/learn/certification/) - [Community](https://arangodb.com/community/) - [Events](https://arangodb.com/events/) - [Resources](https://arangodb.com/resources/) - [Training Center](https://arangodb.com/learn/) - Company - [About Us](https://arangodb.com/about-us/) - [Team](https://arangodb.com/about-arangodb/) - [Partners](https://arangodb.com/partners/) - [News](https://arangodb.com/news/) - [Careers](https://arangodb.applytojob.com/apply) - [Pricing](https://arangodb.com/download-major/pricing/) [**Start Free** ArangoGraph Cloud](https://dashboard.arangodb.cloud/signup?acceptedTermsAndConditions=1) [**Download Now** ArangoDB Enterprise](https://arangodb.com/download-arangodb-enterprise/) ![Vector-5](https://blog.arangodb.com/hubfs/Imported_Blog_Media/search.svg) ![](https://blog.arangodb.com/hubfs/Imported_Blog_Media/Introducing-the-ArangoDB-PyG-Adapter-2-1.png) ## [Introducing the ArangoDB-PyG Adapter](https://blog.arangodb.com/blog/2022/08/introducing-the-arangodb-pyg-adapter) August 04, 2022 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [how to](https://blog.arangodb.com/blog/topic/how-to), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general), [Graph Neural Networks](https://blog.arangodb.com/blog/topic/graph-neural-networks), [PyG](https://blog.arangodb.com/blog/topic/pyg), [pytorch](https://blog.arangodb.com/blog/topic/pytorch), [PyTorch Geometric](https://blog.arangodb.com/blog/topic/pytorch-geometric), [torch](https://blog.arangodb.com/blog/topic/torch) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)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](https://pypi.org/project/adbpyg-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.. [(more…)](https://blog.arangodb.com/blog/2022/08/introducing-the-arangodb-pyg-adapter) ![](https://blog.arangodb.com/hubfs/Imported_Blog_Media/Data-Science-Personas-icons-1.png) ## [Who’s Who in Data Science](https://blog.arangodb.com/blog/2022/04/whos-who-in-data-science) April 14, 2022 Tags: [Data Science](https://blog.arangodb.com/blog/topic/data-science), [Future-of-nosql](https://blog.arangodb.com/blog/topic/future-of-nosql), [collaboration](https://blog.arangodb.com/blog/topic/collaboration), [analytics](https://blog.arangodb.com/blog/topic/analytics), [AQL](https://blog.arangodb.com/blog/topic/aql), [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Publication](https://blog.arangodb.com/blog/topic/publication), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [General](https://blog.arangodb.com/blog/topic/general), [networkx](https://blog.arangodb.com/blog/topic/networkx), [ML](https://blog.arangodb.com/blog/topic/ml) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)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.. [(more…)](https://blog.arangodb.com/blog/2022/04/whos-who-in-data-science) ![](https://blog.arangodb.com/hubfs/Imported_Blog_Media/download-3-1.png) ## [Integrate ArangoDB with PyTorch Geometric to Build Recommendation Systems](https://blog.arangodb.com/blog/2022/04/integrate-arangodb-with-pytorch-geometric-to-build-recommendation-systems) April 06, 2022 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graph](https://blog.arangodb.com/blog/topic/graph), [how to](https://blog.arangodb.com/blog/topic/how-to), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general), [recommendation](https://blog.arangodb.com/blog/topic/recommendation), [pytorch](https://blog.arangodb.com/blog/topic/pytorch) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)Estimated reading time: 1 minutes Estimated reading time: 20 minutes In this blog post, we will build a complete movie recommendation application using [ArangoDB](https://www.arangodb.com/) and [PyTorch Geometric](https://pytorch-geometric.readthedocs.io/en/latest/). 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](https://colab.research.google.com/github/arangodb/interactive_tutorials/blob/master/notebooks/Integrate_ArangoDB_with_PyG.ipynb) [(more…)](https://blog.arangodb.com/blog/2022/04/integrate-arangodb-with-pytorch-geometric-to-build-recommendation-systems) ![](https://blog.arangodb.com/hubfs/Imported_Blog_Media/download-1.png) ## [A Comprehensive Case-Study of GraphSage using PyTorchGeometric and Open-Graph-Benchmark](https://blog.arangodb.com/blog/2021/08/a-comprehensive-case-study-of-graphsage-using-pytorchgeometric) August 13, 2021 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graph](https://blog.arangodb.com/blog/topic/graph), [how to](https://blog.arangodb.com/blog/topic/how-to), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general), [graphsage](https://blog.arangodb.com/blog/topic/graphsage), [python](https://blog.arangodb.com/blog/topic/python), [pytorch](https://blog.arangodb.com/blog/topic/pytorch), [ML](https://blog.arangodb.com/blog/topic/ml) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)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](https://arxiv.org/abs/1706.02216), this notebook will cover: - What is GraphSage - Neighbourhood Sampling - Getting Hands-on Experience with GraphSage and PyTorch Geometric Library - Open-Graph-Benchmark’s Amazon Product Recommendation Dataset - Creating and Saving a model - Generating Graph Embeddings Visualizations and Observations [(more…)](https://blog.arangodb.com/blog/2021/08/a-comprehensive-case-study-of-graphsage-using-pytorchgeometric) ## [ArangoML Series: Multi-Model Collaboration](https://blog.arangodb.com/blog/2021/01/arangoml-series-multi-model-collaboration) January 26, 2021 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graph](https://blog.arangodb.com/blog/topic/graph), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general), [python](https://blog.arangodb.com/blog/topic/python) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)Estimated reading time: 9 minutes Estimated reading time: 8 minutes **Multi-Model Machine Learning** This article looks at how a team collaborating on a real-world machine learning project benefits from using a multi-model database for capturing ML meta-data. The specific points discussed in this article are how: - The graph data model is superior to relational for ML meta-data storage. - Storing ML experiment objects is natural with multi-model. - ArangoML promotes collaboration due to the flexibility of multi-model. - ArangoML provides ops logging and performance analysis. [(more…)](https://blog.arangodb.com/blog/2021/01/arangoml-series-multi-model-collaboration) ## [ArangoML Series: Intro to NetworkX Adapter](https://blog.arangodb.com/blog/2020/11/arangoml-series-intro-to-networkx-adapter) November 17, 2020 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [arangopipe](https://blog.arangodb.com/blog/topic/arangopipe), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graph](https://blog.arangodb.com/blog/topic/graph), [how to](https://blog.arangodb.com/blog/topic/how-to), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general), [networkx](https://blog.arangodb.com/blog/topic/networkx), [python](https://blog.arangodb.com/blog/topic/python) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)Estimated reading time: 4 minutes Estimated reading time: 3 minutes This post is the fifth in a series of posts introducing the ArangoML features and tools. This post introduces the NetworkX adapter, which makes it easy to analyze your graphs stored in ArangoDB with NetworkX. In this post we: - Briefly introduce NetworkX - Explore the IMDB user rating dataset - Showcase the ArangoDB integration of NetworkX - Explore the centrality measures of the data using NetworkX - Store the experiment with arangopipe This notebook is just a slice of the full-sized notebook available in the ArangoDB NetworkX adapter repository. It is summarized.. [(more…)](https://blog.arangodb.com/blog/2020/11/arangoml-series-intro-to-networkx-adapter) ## [ArangoML Part 4: Detecting Covariate Shift in Datasets](https://blog.arangodb.com/blog/2020/11/arangoml-part-4-detecting-covariate-shift-in-datasets) November 05, 2020 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)Estimated reading time: 2 minutes Estimated reading time: 1 minute This post is the fourth in a series of posts introducing ArangoML and showcasing its benefits to your machine learning pipelines. Until now, we have focused on ArangoML’s ability to capture metadata for your machine learning projects, but it does much more.  In this post we: - Introduce the concept of covariate shift in datasets - Showcase the built-in dataset shift detection API [(more…)](https://blog.arangodb.com/blog/2020/11/arangoml-part-4-detecting-covariate-shift-in-datasets) ## [ArangoML Part 3: Bootstrapping and Bias Variance](https://blog.arangodb.com/blog/2020/10/arangoml-part-3-bootstrapping-and-bias-variance) October 24, 2020 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)Estimated reading time: 3 minutes Estimated reading time: 2 minutes This post is the third in a series of posts about machine learning and showcasing the benefits ArangoML adds to your machine learning pipelines. In this post we: - Introduce bootstrapping and bias-variance concepts - Estimate and analyze the variance of the model from part 2 - Capture the metadata for this activity with arangopipe [(more…)](https://blog.arangodb.com/blog/2020/10/arangoml-part-3-bootstrapping-and-bias-variance) ## [ArangoML Part 2: Basic Arangopipe Workflow](https://blog.arangodb.com/blog/2020/10/arangoml-part-2-basic-arangopipe-workflow) October 09, 2020 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)Estimated reading time: 2 minutes Estimated reading time: 1 minute This post is the second in a series of posts about machine learning and showcasing the benefits ArangoML adds to your machine learning pipelines. In this post we: - Introduce machine learning concepts - Demonstrate basic model building - Log a model building activity with arangopipe [(more…)](https://blog.arangodb.com/blog/2020/10/arangoml-part-2-basic-arangopipe-workflow) ## [ArangoML Part 1: Where Graphs and Machine Learning Meet](https://blog.arangodb.com/blog/2020/09/arangoml-part-1-where-graphs-and-machine-learning-meet) September 25, 2020 Tags: [ArangoML](https://blog.arangodb.com/blog/topic/arangoml), [Machine Learning](https://blog.arangodb.com/blog/topic/machine-learning), [Graphs](https://blog.arangodb.com/blog/topic/graphs), [General](https://blog.arangodb.com/blog/topic/general) ![](https://blog.arangodb.com/hubfs/ArangoDB-Blog/clock.svg)Estimated reading time: 5 minutes Estimated reading time: 4 minutes This post is the first in a series of posts introducing ArangoML and showcasing its benefits to your machine learning pipelines. In this first post, we look at what exactly ArangoML is, with later posts in this series showcasing the different tools and use cases. [(more…)](https://blog.arangodb.com/blog/2020/09/arangoml-part-1-where-graphs-and-machine-learning-meet) « [1](https://blog.arangodb.com/blog/topic/arangoml/page/1) [2](https://blog.arangodb.com/blog/topic/arangoml/page/2) [»](https://blog.arangodb.com/blog/topic/arangoml/page/2) Get the latest tutorials, blog posts and news: Tags - [General](https://blog.arangodb.com/blog/topic/general) - [Release](https://blog.arangodb.com/blog/topic/release) - [Community](https://blog.arangodb.com/blog/topic/community) - [Releases](https://blog.arangodb.com/blog/topic/releases) - [Performance](https://blog.arangodb.com/blog/topic/performance) - [Tutorial](https://blog.arangodb.com/blog/topic/tutorial) - [Foxx](https://blog.arangodb.com/blog/topic/foxx) - [AQL](https://blog.arangodb.com/blog/topic/aql) - [API](https://blog.arangodb.com/blog/topic/api) - [Newsletter](https://blog.arangodb.com/blog/topic/newsletter) - [Cluster](https://blog.arangodb.com/blog/topic/cluster) - [Graph](https://blog.arangodb.com/blog/topic/graph) - 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