

What we’re about
Welcome to the Graph Database Delhi/NCR 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!
Sponsors
See allUpcoming events (2)
See all- Knowledge Graphs in Action: Unlocking Insights with Neo4jTBD, New Delhi
Details:
🚨🚨🚨To register for the event, follow the below process -
RSVP on Meetup and fill the google form: RSVPA Deep Dive into LLMs, Neo4j, and Vertex AI
Embark on a journey into the future of artificial intelligence with our expert-led session. This event is your opportunity to explore the powerful synergy between Large Language Models (LLMs), the graph database capabilities of Neo4j, and the cutting-edge tools of Vertex AI.
Whether you're looking to expand your understanding of graph databases or eager to see how generative AI is applied in practice, this event is the perfect platform to learn how LLMs and knowledge graphs combine to build smarter solutions.
During this hands-on session, our speakers will walk you through how to:
1. Utilize Gemini models on Vertex AI to generate and extract vector embeddings from your datasets.
2. Store and manage these embeddings within Neo4j for powerful retrieval and analysis.
3. Perform sophisticated vector similarity searches inside a graph database.
4. Develop semantic search engines that are both powerful and intuitive, all built on a foundation of knowledge graphs.....................................
Agenda:
9:00 AM - 10:00 AM: Registration and Networking
10:00 AM - 10:30 AM: Welcome Note
10:30 AM - 12:00 PM: Session 1 TBD
12:00 PM - 12:30 PM: Lunch and Closing Note................................
👩💻 Who Should Attend:
This event is designed for developers, data scientists, and architects who want to build the next generation of intelligent, data-driven applications. Get ready to build with LLMs and knowledge graphs.What to Bring: Just a laptop and your enthusiasm for learning! We’ll share setup instructions.
For any queries, please contact the organizers.
Date: 30th August, 2025
Time: 9:00 AM to 2:00 PM IST
Venue: TBDPlease Note: An RSVP on Meetup does not guarantee entry. Only individuals who receive a confirmation email will be admitted to the venue, and no exceptions can be made. Thank you for your cooperation.
Come learn how industry leaders are leveraging GenAI for intelligent recommendations! - Network event105 attendees from 10 groups hostingNODES 2025 - Asia PacificLink visible for attendees
NODES, the biggest community gathering dedicated to graph-powered apps, knowledge graphs, and AI returns for its seventh year on November 6, 2025.
Join thousands of developers and data & AI practitioners in this free, 24-hour conference to learn about the latest advancements in intelligent systems and gain insights from speakers showcasing their implementations, tools, and models.
This year's five themes are:
- Applications: Libraries, Frameworks, and Platforms
- AI Engineering: Generative AI, RAG, and Agents
- Data Intelligence: Machine Learning, Algorithms, and Models
- Graphs: Visualization, Knowledge Graphs and Tips & Tricks
- Architecture: Frameworks, Data Platforms, Clouds and Beyond
Don't miss it. Save the date now.