ArangoDB Graph Category | Explore Graph Database Solutions

Benchmark Results – ArangoDB vs. Neo4j : ArangoDB up to 8x faster than Neo4j

Heiko Kernbach — Tue, 03 Dec 2024 15:47:23 +0000

Introduction This document presents the benchmark results comparing the ArangoDB’s Graph Analytics Engine (GAE) against Neo4j. The GAE is just one component of ArangoDB’s Data Science Suite. This reproducible benchmark aims to provide a neutral and thorough comparison between the two databases, ensuring a fair and unbiased assessment. We use the wiki-Talk dataset, a widely…

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Vector Search in ArangoDB: Practical Insights and Hands-On Examples

Anthony Mahanna — Mon, 25 Nov 2024 07:03:18 +0000

Vector search is gaining traction as a go-to tool for handling large, unstructured datasets like text, images, and audio. It works by comparing vector embeddings, numerical representations generated by machine learning models, to find items with similar properties. With the integration of Facebook’s FAISS library, ArangoDB brings scalable, high-performance vector search directly into its core,…

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Some Perspectives on HybridRAG in an ArangoDB World

Corey Sommers — Tue, 08 Oct 2024 05:13:35 +0000

Introduction Graph databases continue to gain momentum, thanks to their knack for handling intricate relationships and context. Developers and tech leaders are seeing the potential of pairing them with the creative strength of large language models (LLMs). This combination is opening the door to more precise, context-aware answers to natural language prompts. That’s where RAG…

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ArangoDB 3.12 – Performance for all Your Data Models

Carsten Tang — Wed, 27 Mar 2024 16:44:29 +0000

We are proud to announce the GA release of ArangoDB 3.12! Congrats to the team and community for the latest ArangoDB release 3.12! ArangoDB 3.12 is focused on greatly improving performance and observability both for the core database and our search offering. In this blog post, we will go through some of the most important…

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The world is a graph: How Fix reimagines cloud security using a graph in ArangoDB

Lars Kamp — Thu, 08 Feb 2024 07:15:14 +0000

'Guest Blog' Estimated reading time: 5 minutes In 2015, John Lambers, a Corporate Vice President and Security Fellow at Microsoft wrote “Defenders think in lists. Attackers think in graphs. As long as this is true, attackers win.ˮ The original problem in cloud security is visibility into my assets. If security engineers donʼt know what cloud…

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Reintroducing the ArangoDB-RDF Adapter

Anthony Mahanna — Thu, 01 Feb 2024 06:15:57 +0000

ArangoRDF allows you to export Graphs from ArangoDB into RDFLib, the standard library for working with Resource Description Framework (RDF) in Python, and vice-versa. Back in December 2023, we (quietly) released ArangoRDF’s 0.1 distribution, which reworkedfunctionality to introduce a consistent RDF-to-ArangoDB & ArangoDB-to-RDF experience basedon the paper Transforming RDF-star to Property Graphs: A Preliminary Analysis…

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Introducing ArangoDB’s Data Loader : Revolutionizing Your Data Migration Experience

Fernando Gomez — Thu, 14 Dec 2023 11:57:57 +0000

At ArangoDB, our commitment to empowering companies, developers, and data enthusiasts with cutting edge tools and resources remains unwavering. Today, we’re thrilled to unveil our latest innovation, the Data Loader, a game-changing feature designed to simplify and streamline the migration of relational databases to ArangoGraph. Let’s dive into what makes Data Loader a must-have tool…

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Introducing the ArangoDB-PyG Adapter

Anthony Mahanna — Thu, 04 Aug 2022 08:40:19 +0000

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…

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Integrate ArangoDB with PyTorch Geometric to Build Recommendation Systems

Sachin Sharma — Wed, 06 Apr 2022 16:52:45 +0000

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…

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ArangoSync: A Recipe for Reliability

admin — Wed, 18 Aug 2021 11:59:42 +0000

Estimated reading time: 18 minutes A detailed journey into deploying a DC2DC replicated environment When we thought about all the things we wanted to share with our users there were obviously a lot of topics to choose from. Our Enterprise feature; ArangoSync was one of the topics that we have talked about frequently and we…

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