What we’re about
Welcome to our world-wide Neo4j Online Meetup
In this Meetup we want to reach across borders and run online sessions for everyone around the world to join. Topics will range from data modeling and import to data science and data journalism. Sessions are hosted using YouTube Live on the Neo4j YouTube Channel.
We will also run hands-on workshops for developing your own applications and training sessions. Feel free to propose other topics you're interested in.
Upcoming events (4+)
See all- Network event55 attendees from 21 groups hosting⚡Community Livestream: A Graph Learning Journey: Graph Data Science OverviewLink visible for attendees
Event: Livestream: Neo4j Graph Data Science Overview w/Alison Cossette, Data Science
Join us in viewing this event in the Neo4j Community Forum.
This session invites you to explore the "why" and "how" of Graph Analytics with Neo4j's SME, Alison Cossette. In this overview we will show how GDS builds on your knowledge of graph modeling and Cypher, unlocking new technical capabilities to help determine if you Learn how developers use GDS in real-world systems
By the end of this overview, you will have a better understanding of the practical uses of Graph Analytics and discover how developers apply this skill to build real-world systems such: recommendation engines, fraud detection models, personalized search and ranking, and machine learning pipelines powered by graph embeddings.
Bonus: We will also share a preview of what prerequisite GraphAcademy courses you take to prepare for the Neo4j GDS Certification.
- Network event41 attendees from 22 groups hostingNeo4j Live: CyVer - Verifying Cypher QueriesLink visible for attendees
As RAG systems increasingly depend on Cypher queries generated by LLMs, correctness is no longer optional, it’s critical. In this livestream, we’ll introduce CyVer, an open-source Python library designed to verify Cypher queries against your Neo4j graph schema. Whether your queries are handcrafted or AI-generated, CyVer has your back.
Join us to learn how CyVer ensures:
- Syntax Validity: Catch malformed Cypher before it breaks your app
- Schema Alignment: Validate labels and relationships against your graph
- Property Accuracy: Confirm property access matches your data modelGuests: Christina-Maria Androna & Ioanna Mandilara
GitLab Repo: https://gitlab.com/netmode/CyVer
PyPI: https://pypi.org/project/CyVer/
Publication: https://ieeexplore.ieee.org/document/10990239
NETMODE Lab: https://www.netmode.ntua.gr/
ARSINOE: https://arsinoe-project.eu/ - Network event33 attendees from 22 groups hosting⚡Community Livestream : Pass the Neo4j Certification Exam Like a ProLink visible for attendees
A Graph Learning Journey: Pass the Neo4j Certification Exam Like a Pro
Join us for this live lightening talk event in the Neo4j Community Forum.
This session offers you some of the key tips and tricks for your to use as a guide in preparing to pass the Neo4j Certification Exam with confidence. Led by Neo4j Developer Relations expert Jennifer Reif, this livestream breaks down the exam’s focus areas and shares tips, tools, and resources that will help you succeed—whether you're brushing up on Cypher, graph modeling, or Neo4j concepts.We will also leave time for questions at the end as well!
- Network event108 attendees from 30 groups hostingGraphTalk Pharma & Life SciencesLink visible for attendees
Register: https://go.neo4j.com/LECON250702GraphTalkPharmaMunich_Registration.html
Morning Sessions | Industry Success Stories
Hear success stories from top leading pharma and life sciences organizations, including Merck Group, Bayer, Qiagen, Novo Nordisk, BASF. Learn how they are using Neo4j to power real-world graph use cases.Afternoon Sessions | Technical Deep Dive
Perfect for those seeking practical, technical insights into GenAI, Knowledge Graphs and GraphRAG - featuring Syngenta, Care-for-Rare Foundation and Neo4j. We will explore how to integrate scientific RDF data into Neo4j, build knowledge graphs from diverse life science sources, and power GenAI applications with graph analytics.What you'll learn:
- Integrate complex, diverse biomedical data to uncover hidden patterns between genes, proteins, diseases and drug candidates
- Accelerate R&D by identifying novel drug targets and predicting efficacy using graph algorithms and AI
- Automate scientific workflows and enable natural language queries through GenAI and Large Language Models
- Build AI-ready data foundations that support production-grade, explainable GenAI applications like GraphRAG
Past events (502)
See all- Network event60 attendees from 22 groups hostingNeo4j Live: RushDB in Action - Graph-Native Tools for the AI EraThis event has passed
