Part of Neo4j MeetUp - 31 groups

Graph Database Delhi/NCR

4.4•42 ratings

About us

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!

Featured event

Build with AI by TFUG Ghaziabad

Sat, May 23 · 9:00 AM IST

Opstree Solutions, 3rd Floor, Tirupati AKC Building 01-A, Raipur Khadar, Sector 126 Noida, Uttar Pradesh – 201313, Noida, IN

Build with AI by TensorFlow User Group Ghaziabad is a hands-on developer-focused event series organized in collaboration with Google for Developers, aimed at empowering developers, students, and AI enthusiasts to learn, build, and deploy real-world AI solutions using modern technologies such as Gemini, Gemma, and Google Cloud AI.
The event emphasizes practical learning over theory, featuring interactive workshops, expert-led sessions, and live demonstrations that help participants understand and implement advanced concepts like agentic AI, retrieval-augmented generation (RAG), and scalable ML systems. Attendees gain experience in building intelligent applications, deploying AI models, and integrating cutting-edge APIs into production-ready solutions.

Neo4j Session:
Evolving Retrieval: Agents, Graphs & Intellogent Workflows with Gemini and Neo4j
Bhavesh Bhatt

19 attendees

Upcoming events

See all

Build with AI by TFUG Ghaziabad
Sat, May 23 · 9:00 AM IST
Opstree Solutions, 3rd Floor, Tirupati AKC Building 01-A, Raipur Khadar, Sector 126 Noida, Uttar Pradesh – 201313, Noida, IN
Register: https://www.commudle.com/communities/tensorflow-user-group-ghaziabad/events/build-with-ai-by-tfug-ghaziabad

Build with AI by TensorFlow User Group Ghaziabad is a hands-on developer-focused event series organized in collaboration with Google for Developers, aimed at empowering developers, students, and AI enthusiasts to learn, build, and deploy real-world AI solutions using modern technologies such as Gemini, Gemma, and Google Cloud AI.
The event emphasizes practical learning over theory, featuring interactive workshops, expert-led sessions, and live demonstrations that help participants understand and implement advanced concepts like agentic AI, retrieval-augmented generation (RAG), and scalable ML systems. Attendees gain experience in building intelligent applications, deploying AI models, and integrating cutting-edge APIs into production-ready solutions.

Neo4j Session:
Evolving Retrieval: Agents, Graphs & Intellogent Workflows with Gemini and Neo4j
Bhavesh Bhatt
19 attendees
Network event
GraphTalk Pharma & Life Sciences
Thu, Jul 2 · 12:30 PM IST
·
Online
Online
44 attendees from 21 groups
3rd edition of GraphTalk Pharma & Life Sciences returns on 2 July 2026 in Munich, again as a hybrid event.

Join us to explore how leading organizations are moving beyond AI experimentation and into production-ready, reliable AI systems powered by context graphs.

AI fatigue isn’t about the model, it’s about the foundation. In pharma and life sciences, fragmented data limits the impact of GenAI. Without connected, explainable context, AI remains stuck in pilots.
Knowledge graphs change that. They unify data across scientific literature, omics, clinical trials, and real-world evidence, creating a structured reasoning layer that enables grounded, traceable, and up-to-date insights.

This year’s agenda follows the pharma product lifecycle, showcasing how GenAI and knowledge graphs drive impact across:

R&D – accelerating discovery and target identification

Clinical – enabling explainable, data-driven decisions

Supply Chain – improving resilience and operational intelligence

Throughout the day, you’ll hear real-world use cases from leading organizations using Neo4j to bring context to AI and move from pilots to production.
You’ll leave with a clear understanding of where GenAI and context graphs can take your organization next and how to get there.

Choose your preferred experience: attend physically on the day, or stream online, whatever suits your schedule and interest.
3 attendees from this group
Network event
NODES 2026
Thu, Nov 12 · 2:00 AM IST
·
Online
Online
1 attendee from 9 groups
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.
Network event
Road to NODES | Build, Publish and Power Up Agents in Aura
Thu, Nov 12 · 7:00 AM IST
·
Online
Online
1 attendee from 8 groups
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.