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Check out our on-demand library of content to learn more about graph technology, get a deeper understanding of use cases, and more.
Discover how data pioneers use graph technology and AI to uncover hidden relationships, increase intelligence, and solve the most pressing problems.
Attend one of these 30-minute introductory webinars to learn the basics of graph and how to start building powerful applications at speed.
Java 21 und Beyond: Praxisnahe Einblicke in die neuesten Java-Entwicklungen und -Technologien. Zukunftssichere Software-Architekturen: Best Practices für Enterprise Java, Microservices und DevOps für skalierbare IT-Systeme. Aktuelle IT-Trends verstehen und anwenden: Deep Dive in JavaScript, Cloud-Native und Serverless-Technologien. Generative AI und...
Join us at the Knowledge Graph Conference (KGC), a pioneer in the rapidly growing field of knowledge graphs and related technologies such as graph neural networks, natural language processing, graph data science, Large Language Models (LLMs), and more. We aim...
Tired of endlessly tweaking prompts and getting unpredictable results? It’s time to stop treating LLMs like magic boxes and start building real, inspectable systems. In this 2-hour workshop, you’ll learn how to architect AI agents that reason over your data...
We are back at Data Innovation Summit! The event is the largest and most influential annual Data and AI event in the Nordics and beyond. To learn more and to register, visit the Data Innovation Summit site.
This 2-hour workshop is for developers who want to start building real, grounded AI applications. You’ll learn how to use Neo4j as a retrieval engine for large language models, structuring data to improve relevance, context, and reasoning in AI workflows....
Join us on May 8 to hear how Cummins, Inc. used a graph database to enable an AI-ready data stack. In 30 minutes, learn how to follow their example to improve metadata management, knowledge graph capabilities, and decision-making. Find out...
Join us on May 8 to hear how Cummins, Inc. used a graph database to enable an AI-ready data stack. In 30 minutes, learn how to follow their example to improve metadata management, knowledge graph capabilities, and decision-making. Find out...
Join us on May 8 to hear how Cummins, Inc. used a graph database to enable an AI-ready data stack. In 30 minutes, learn how to follow their example to improve metadata management, knowledge graph capabilities, and decision-making. Find out...