About us
Welcome to the Graph Database Tokyo User Group, a group for anyone interested in exploring the intersection of graphs, artificial intelligence, machine learning, gen-ai big data, and analytics. Our group is powered by Neo4j, a leading graph database technology, and our goal is to democratize graphs by discussing and exploring technologies that empower fraud prevention, personalized recommendation, supply-chain optimization, and other analysis capabilities found in today's most critical enterprise applications.
Want to lead this group or want to start a user group in your city? Fill this form and we will get back to you at the earliest.
Whether you are a developer, data scientist, or just curious about the world of graph databases and graph data science, our group is the perfect place for you. We welcome anyone who is passionate about these topics and wants to connect with others in the community. Our events are a great opportunity to network with other professionals, learn from experts, and explore the potential of graph technology industry. To speak at future meetups, fill this form. To co-promote your meetup or inquire about sponsorship opportunities, please reach out to devrel@neo4j.com
If you wish to get started with Graphs virtually at the comfort of your home, take our GraphAcademy courses. If you have already tried Neo4j and ran into some questions, check out our community forum: https://community.neo4j.com/.
Join us for our next event, and let's explore the exciting world of graphs, AI, and big data together!
Featured event
OpenAI Codex - Fast Hacks in Tokyo
Register: https://luma.com/tokyo-hack-night-08-27-26
**[Tokyo] Fast Hacks - Hack Night - with OpenAI Codex**
An evening for builders who’d rather show than tell.
Fast Hack Night is a focused, intimate gathering where makers step out of the shadows and put real projects on display. No hype, no pitches—just working demos, thoughtful experimentation, and the stories behind what was built.
Schedule
- 5:00 PM - Doors Open
- 5:30 PM - Introduction
- 6:00 PM - Building Begins
- 8:00 PM - Demos Begin
- 9:00 PM - Event Ends
Expect a calm, intentional atmosphere: a room full of curious minds, quiet intensity, and moments of genuine surprise as ideas turn into something tangible. Whether you’re demoing, exploring, or simply absorbing the energy, this night is about craftsmanship, iteration, and the joy of building in public.
Upcoming events
4
OpenAI Codex - Fast Hacks in Tokyo
Tokyo, JPRegister: https://luma.com/tokyo-hack-night-08-27-26
**[Tokyo] Fast Hacks - Hack Night - with OpenAI Codex**
An evening for builders who’d rather show than tell.
Fast Hack Night is a focused, intimate gathering where makers step out of the shadows and put real projects on display. No hype, no pitches—just working demos, thoughtful experimentation, and the stories behind what was built.
Schedule- 5:00 PM - Doors Open
- 5:30 PM - Introduction
- 6:00 PM - Building Begins
- 8:00 PM - Demos Begin
- 9:00 PM - Event Ends
Expect a calm, intentional atmosphere: a room full of curious minds, quiet intensity, and moments of genuine surprise as ideas turn into something tangible. Whether you’re demoing, exploring, or simply absorbing the energy, this night is about craftsmanship, iteration, and the joy of building in public.
2 attendees- Network event
NODES 2026
·OnlineOnline10 attendees from 9 groupsNODES, 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.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.To see the talks from last year, check out the NODES 2025 Playlist.
1 attendee from this group - Network event
Road to NODES | Build, Publish and Power Up Agents in Aura
·OnlineOnline5 attendees from 8 groupsNODES, 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.
Past events
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