AI Hands-On Workshop with Neo4j and Databricks | Munich

Join Neo4j and Databricks experts for an in-person, hands-on workshop. It is built for data scientists, data engineers, AI/ML engineers, and AI developers who want to build production-style AI agents grounded in governed lakehouse data and connected graph context. In… Read more →

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AI Hands-On Workshop with Neo4j and Google Gemini Enterprise | London

Join us in the hands on workshop with Google Cloud Gemini Enterprise. Designed for data scientists and data engineers, the session walks through deploying both technologies within a Google Cloud environment. You will work with a real world dataset and… Read more →

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Build a hybrid RAG pipeline with multiple retrievers | Europe

Join our technical session on building a hybrid RAG system with multiple retrievers that handle every question type. Start asking the right tool the right question.

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DDC 2026

Building World-Aware Robots with Agent Memory and Context Graphs

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AI, Data in Finance & Insurance Summit – Frankfurt

Neo4j is participating in the DACH AI, Data in Finance and Insurance Summit in Frankfurt on 3–4 December 2026, joining financial services leaders to explore how AI and connected data are reshaping banking and insurance. From Agentic AI and GenAI… Read more →

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Agents & APIs Paris Developer Meetup

Rejoignez-nous pour une nouvelle édition du meetup Agents et APIs, proposé par Postman ! Au programme : de l’IA, des agents, des APIs et tout ce qui se trouve à la croisée de ces deux mondes.

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Norwegian Refugee Council unifies humanitarian location data in a knowledge graph

The Norwegian Refugee Council built a knowledge graph to unify fragmented and siloed location data, creating a single source of truth that improves data accuracy, consistency, and accessibility for humanitarian decision-making.

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Deutsche Bahn open-sources a semantic graph editor for its railway network data

Deutsche Bahn’s innovation team built and open-sourced a semantic graph editor to visualize, edit, and query their complex railway network data, empowering both technical and non-technical users.

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Green Cargo builds a digital twin of its freight train operations with Neo4j

Green Cargo built a comprehensive digital twin of their freight train operations using Neo4j to gain real-time visibility and manage disruptions effectively across their complex network.

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