私たちについて
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!
注目イベント
Reliable agents: memory, execution state and recovery
Register: https://luma.com/9sta84i8
An agent can remember the facts of a task and still lose track of its work. Join Tokyo AI (TAI) for an evening on agent memory, execution state and recovery: what to retain for reasoning, what to record reliably, and how to continue after interruption.
Designed for engineers building and operating agents, application architects and technical leads, this event connects memory and retrieval choices with the reliability requirements of long-running systems.
Melanie Warrick, working on AI developer relations engineering at Temporal, will present What an Agent Needs to Remember, including a live demo. Koji Annoura will present Different Agents, Shared Memory: Building Persistent Context with Neo4j, demonstrating shared context across agents with Neo4j and MCP. One additional talk will be announced once confirmed.
今後のイベント
4
Reliable agents: memory, execution state and recovery
Tokyo, Tokyo, Japan, JPRegister: https://luma.com/9sta84i8
An agent can remember the facts of a task and still lose track of its work. Join Tokyo AI (TAI) for an evening on agent memory, execution state and recovery: what to retain for reasoning, what to record reliably, and how to continue after interruption.
Designed for engineers building and operating agents, application architects and technical leads, this event connects memory and retrieval choices with the reliability requirements of long-running systems.
Melanie Warrick, working on AI developer relations engineering at Temporal, will present What an Agent Needs to Remember, including a live demo. Koji Annoura will present Different Agents, Shared Memory: Building Persistent Context with Neo4j, demonstrating shared context across agents with Neo4j and MCP. One additional talk will be announced once confirmed.2 人の参加者
ODS Data & Agentic AI (ODAI) Meetup Tokyo #3
ミーティングスペースAP赤坂グリーンクロス, Japan, 〒107-0052 Tokyo, Minato City, Akasaka, 2-chōme−4−６ グリーンクロス ４階, Minato City, JPRegister https://www.ipa.go.jp/digital/architecture/seminar/odai-meetup/odai-meetup-3.html
# ODS Data & Agentic AI (ODAI) Meetup Tokyo #3
公開日：2026年10月8日
デジタル＆AIシステムズ・デザインセンター
「ODS Data & Agentic AI Meetup」は、Agentic AI 時代のコンテキストレイヤーとしての Open Data Spaces（ODS）関連技術に関心を持つユーザー企業・サービサー・研究機関の実務家が、月1回程度のペースで集い、分散データマネジメント技術に関連する「ODAI（お題）」を持ち寄り、議論を行う Meetup 形式のコミュニティです。
IPA はさまざま立場や考えをお持ちのみなさまにフラットな対話の場を提供します。
議論の主役はあくまで参加者のみなさま自身です。1 人の参加者
Knowledge Layer Seminar
大手町プレイス ホール＆カンファレンス, Japan, 〒100-0004 Tokyo, Chiyoda City, Ōtemachi, 2-chōme−3−２ プレイス（イースト 1階・2階, Chiyoda City, JPRegister: https://www.creationline.com/cl-neo4j-events_fy26q3/
# GraphRAGとオントロジーで実現する エンタープライズナレッジレイヤー
AIエージェントに関係性・歴史・決定のコンテキスト［背景・文脈］をもたらす
Neo4jの講演・ライブデモ・大手製造業の事例を2時間でお届けします。1 人の参加者- ネットワークイベント
NODES 2026
·オンラインオンライン20 参加者が9 グループから参加しています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 agenda is out!!! Here is a snapshot from the AI Engineering track
- Agent Memory Beyond Vectors: Queryable Context Graphs for Reliable AI Systems, Auxten Wang, ClickHouse
- Overcoming Temporal Blindness: Serverless Cross-Temporal Reasoning with Neo4j and LangChain, Shuva Jyoti Kar, Palo Alto Networks
- The Missing Layer: Why AI Memory Should Start with Humans, Not Agents. Doriana Negruț, Luminaria
- Unlocking Multi-Hop Reasoning with GraphRAG: Divakar Kumar, FlyersSoft
- Building an AI Customer Support Agent with Mastra & Neo4j: Abhishek Das, SourcingXPress
- "What Connects to This Pump?"- Agentic, Visual Search over Diagrams, Powered by Neo4j: Hiroki Kokubo, JGC Corporation
- Public Healthcare: Either a Labyrinth or a Graph, GraphRAG Routing on Neo4j, Giulia Marchese, Geen.ai
Before NODES 2026: Get hands-on with GraphRAG, agent memory, context graphs, and agentic engineering in our 2-hour workshop series—and share NODES with your fellow devs for a chance to win $200 in cool prizes. Come to NODES with a few new patterns, ideas, and questions ready to dig into.
このグループから1 参加者が参加しています
過去のイベント
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