GraphSummit New York

Join us in New York to learn how a knowledge layer gives enterprise AI the context, memory, and reasoning it needs to move from pilot to trustworthy production.

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AI Hands-On Workshop with Neo4j and Google Gemini | Sunnyvale

In this hands-on workshop, you will learn how to use Neo4j together with Google Cloud Gemini Enterprise. Designed for data scientists and data engineers, the session walks through deploying both technologies within a Google Cloud environment. You will work with… Read more →

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Scale Karpathy’s LLM wiki with Neo4j GraphRAG

Learn how to transform Karpathy’s LLM Wiki into a production-ready knowledge layer with Neo4j, built for accurate, explainable AI retrieval.

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Testμ Conf 2026

Join us at Testμ Conf 2026, the world’s largest virtual conference on Agentic Engineering and AI-powered Quality. As a proud Community Sponsor, Neo4j is excited to support developers, and AI practitioners exploring the future of autonomous software engineering. Topics include:… Read more →

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Neo4j Graph Intelligence hands-on workshop | Cincinnati

Join us for an exclusive, hands-on experience designed for developers, architects, and application owners looking to deepen their expertise in Neo4j’s powerful graph technology. This in-person workshop will deepen your expertise in integrating GraphRAG into GenAI solutions—ideal for building systems that prioritize… Read more →

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Introduction to graph data science: Hands-on virtual workshop

This foundational course takes you from the basics of Graph Data Science (GDS) to independent algorithm work.

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Neo4j & generative AI fundamentals: Hands-on virtual workshop

A virtual workshop designed for Generative AI practitioners already familiar with vector-based RAG who want to understand how GraphRAG can elevate LLM outputs.

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Introduction to graph databases: Neo4j virtual hands-on workshop

Learn about Graph theory, Neo4j fundamentals, and how to read and write data using Cypher.

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Build trustworthy AI: A fireside chat with IndyKite

Join Neo4j and IndyKite for a fireside chat on how enterprises can overcome data, identity, governance, and operational challenges to scale trustworthy AI to production.

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