Graph Database - United Kingdom

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.

NODES, the biggest community gathering dedicated to engineering better intelligence returns on November 12, 2026, for its eighth year.
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.
The Call for Papers is open. Submit your talk in one of those three tracks by June 15:
AI Engineering: Generative AI, RAG, and Agents
Build software with AI. From architecting multi-agent systems to exploring new coding workflows, AI tools and techniques are evolving rapidly—and graphs play a central role. Learn from the latest research and real-world applications. Topics include knowledge graph construction from structured and unstructured data, context graphs and memory for more reliable AI systems, GraphRAG retrieval patterns, full-stack agentic strategies, and the libraries, tools, and services used to bring these systems into production.
Modern Applications: Libraries, Frameworks, and Platforms
Discover how developers build modern applications and AI-powered systems using graph databases alongside popular libraries, frameworks, and platforms. Learn how teams solve real-world problems across software stacks, deployments, integrations, and programming languages. Explore tools and practices tailored to different use cases that streamline development, improve the developer workflow, and accelerate the delivery of intelligent applications.
Data Intelligence: Knowledge Graphs, LLMs, and Fully Fledged Context
Explore how developers, data scientists, and AI builders unlock deeper intelligence from data. Learn how knowledge graphs and modern data workflows combine data engineering and domain expertise to build scalable pipelines, models, and knowledge structures that continuously improve outcomes. Sessions highlight practical techniques and real-world applications including GraphRAG, centrality, entity recognition, graph visualization, and scalable data integration.
We'll highlight some talks and speakers before the CFP deadline. Submit your abstract by May 20, 2026, to be considered.
To see the talks from last year, check out the NODES 2025 Playlist.