Graph Database - DACH (Germany, Austria, Switzerland )

Register: https://globalai.community/chapters/berlin/events/agentcon-berlin/

Join us for AgentCon Berlin 2026, a dedicated space for developers, builders, startups, students, tech-enthusiasts researchers, and innovators to dive to explore the future of autonomous AI agents. This event is part of the AI Agents World Tour, connecting communities from San Francisco to Singapore.

Whether you're designing intelligent copilots, orchestrating multi-agent systems, or advancing agent frameworks, AgentCon Berlin offers a platform to share insights, inspire others, and shape what’s next.

More information soon!
Supported by Neo4j

Neo4j & Generative AI Fundamental: Hands-On Virtual Workshop
RSVP HERE

Date: Wednesday, May 20, 2026

Time: 9:00 AM (PT) / 11:00 AM (CT) / 12:00 PM (ET)

Duration: 2 hours
You’ll learn the fundamentals of GenAI, explore how Neo4j and knowledge graphs enhance AI-driven applications, and see how GraphRAG improves accuracy and explainability over standard RAG. Through practical exercises, you’ll build your own conversational agent using Neo4j, Python, and LangChain.

RSVP HERE

Whether you’re brand new to graph databases or ready to level up your skills, these sessions walk through Neo4j with hands-on courses, real-world use cases, and guided exercises you can apply directly to your own projects.

Each live workshop combines expert guidance, real-time practice, and practical examples to explore Graph Database concepts and to equip you with the essential knowledge. Register for one workshop or attend all three to start your journey toward becoming a Neo4j expert.

Ideal for developers, data professionals, and AI practitioners, these workshops provide a strong foundation in graph theory and hands-on experience using Neo4j and Cypher.

Join us for a hands-on introduction to Generative AI with Neo4j at 42 Berlin.
Large language models are powerful — but without structure, they lose context fast.
As part of the mAI ist für AI series at 42 Berlin, this workshop explores how Neo4j can improve GenAI applications and reduce common challenges such as hallucinations.
In this instructor-led workshop, participants will explore how graph databases can improve GenAI applications and reduce common challenges such as hallucinations. You’ll learn key concepts including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, vector search, knowledge graphs, and AI agents.
The workshop follows a mixed format, combining short theoretical inputs with practical exercises. Participants will work through tasks while instructors are available to support and answer questions.