GraphSummit New York
August 11, 2026 < 1 min read
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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Industrial AI hackathon | Malmö
< 1 min read
50 builders, one day, three tracks: Resilience, Security, and Physical AI.
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AI Hands-On Workshop with Neo4j and Google Gemini | Sunnyvale
August 10, 2026 < 1 min read
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 | Asia Pacific
August 7, 2026 < 1 min read
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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Scale Karpathy’s LLM wiki with Neo4j GraphRAG | Europe
< 1 min read
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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Scale Karpathy’s LLM wiki with Neo4j GraphRAG
< 1 min read
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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AI Engineer Paris 2026
< 1 min read
AI Engineer Paris 2026 returns to Station F on September 23–24 for two days of technical talks, practical workshops, and AI engineering research.
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Testμ Conf 2026
August 6, 2026 < 1 min read
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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Digital Experience Netherlands
< 1 min read
Meet Neo4j at Digital Experience Netherlands 2026 and discover how graph technology transforms fragmented data into connected intelligence for investigations, fraud detection, cybersecurity, and AI. Build AI that is accurate, explainable, and governable with a trusted knowledge layer.
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