Graph Database - DACH (Germany, Austria, Switzerland )

Jesús Barrasa: https://twitter.com/BarrasaDV
Repository: https://github.com/jbarrasa/goingmeta
Knowledge Graph Book: https://bit.ly/3LaqE6b
Previous Episodes: https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/

Join thousands of developers and data and AI practitioners for this free, 24-hour conference to learn about the latest advancements in intelligent systems and gain insights from speakers who showcase their implementations, tools, and models.

This year's four tracks are:

• Applications: Libraries, Frameworks, and Platforms
• AI Engineering: Generative AI, RAG, and Agents
• Data Intelligence: Machine Learning, Algorithms, and Models
• Graphs: Visualization, Knowledge Graphs and Tips & Tricks

Don't miss it. Register now.

Before NODES, you can join Road to NODES workshops — practical, hands-on sessions to build your graph skills ahead of the conference.

Register: https://www.meetup.com/de-DE/jug-hamburg/events/311734312/

Knowledge graphs provide a flexible way to represent and connect data, making them a strong foundation for applications that combine large datasets with AI. In this talk, we will start by defining what knowledge graphs are and why graphs are a natural data model for representing relationships and context. We’ll then look at the specific advantages of graph databases, and how they differ from RDF-based technologies and other graph storage solutions.
The session will also cover practical use cases where knowledge graphs and graph databases add real value, such as integrating heterogeneous data, supporting complex queries, and powering AI-driven applications. Finally, we will discuss how knowledge graphs and graph databases are increasingly used alongside AI, including recent developments like GraphRAG, which extend large language models with structured knowledge.

Register: https://www.meetup.com/openvaluemuenchen/events/311532124/

This time, we’re hosting a special event for Neo4j enthusiasts. Zaid Zaim, Microsoft MVP and TED speaker, will give an interesting talk where he will explain how to use Neo4j knowledge graphs as a powerful memory layer for your AI agents.

🎤 Talk:

"Plug-and-Play AI Memory with Neo4j Knowledge Graphs & AI Agents" by Zaid Zaim (Developer Advocate at Neo4j)
AI agents are becoming core to modern applications, from copilots that assist knowledge workers to autonomous systems that manage complex workflows. Yet one major challenge remains: memory. Without it, agents lose context, forget past interactions, and often hallucinate—undermining trust and reliability. In this session, you’ll learn how to use a plug-and-play Neo4j knowledge graph as a powerful memory layer for your AI agents. Knowledge graphs capture not just facts, but relationships, allowing your agent to build a living model of conversations, decisions, and data over time. Combined with modern AI services, this approach helps ground responses, reduce hallucinations, and create a feedback loop where agents become more adaptive, contextual, and trustworthy. Through a live demo, we’ll show how to connect graph-powered memory into your AI workflows with minimal setup, so you can build copilots and agentic applications that don’t just respond in the moment—but remember, learn, and evolve with your users.