Graph Database - DACH (Germany, Austria, Switzerland )

Click here to see the Hackathon details.

Turn your data into something that actually thinks.
Build an AI agent on top of a knowledge graph that understands context, not just answers. Learn fast, build something real, and put your skills to work.

All Qualified Submission get our brand newly designed "Agent" T-Shirt! *
*One T-Shirt per mailing address

🎯How it works

1️⃣ Join the Neo4j Community for all the forms and links, and rules.

2️⃣ Complete the Building Agents in Neo4j Aura found on the community topic

• Takes about 2 hours
• Complete the course and submit your project by June 15,

3️⃣ Fill out the form for your $100 Credits & Build your submission.

4️⃣Submit your contribution in the Neo4j Community thread.
Qualified submissions Include:

• Agent Name
• What it does
• Dataset and why a graph fits
• Screenshot of your agent in the Aura console
• Screenshot or short demo of your agent in action
• Optional: link to your agent if available

Click here to see the other prizes and details

Do not RSVP on Meetup.

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.

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/

RSVP HERE

Date: Wednesday, May 20, 2026

Time: 9:00 AM (PT) / 12:00 PM (ET) / 6PM CEST

Duration: 3-4 hours
This foundational course takes you from the basics of Graph Data Science (GDS) to independent algorithm work. You’ll learn the fundamentals: what graph data science is, how to create projections for different analytical questions, how to choose and configure algorithms, and how to interpret results.

No prior experience with Neo4j or graph databases is required for the introductory session. Familiarity with Neo4j and Cypher is recommended for the more advanced workshops.

Requirements:

Please join each session from a computer (or laptop) so you can take part in the practical exercises. If your laptop has a firewall you can't control, you may want to bring your personal laptop.

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.