Graph Database - Baltimore-Washington

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Learn. Build. Share. Win.

Represent your country, complete GraphAcademy courses, build a project, and compete for weekly LEGO® prizes.

🏆 How It Works

1️⃣ Join the GraphAcademy Cup
Register and join your country team.

2️⃣ Complete a GraphAcademy Course
Take any GraphAcademy course during the competition.

3️⃣ Build a Project
Create something inspired by what you learned.

4️⃣ Submit Your Project (see Rules Here)

🏅 Win Weekly LEGO® Prizes
Outstanding submissions will be selected each week and featured in the Community Hall of Fame.

Visit the weekly challenge topics for inspiration, deadlines, and contest updates.

Click here to join the GraphAcademy Cup Community Challenge.
Do not RSVP on Meetup.

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.