Tokyo Agent Hackathon

Talking about AI is easy. Getting something to actually work by sundown is the hard part. That’s the idea behind this event: build through the day, demo in the evening.

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Graphs Gone Wild | Berlin

Bring your coding agent. Pick an idea. Build something. Graphs Gone Wild is for people experimenting with AI agents, memory, documents, graphs, MCP, and new developer tooling.

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Daytona, Neo4j, Mistral & SGLang AI Builders – Paris, September 2026

AI engineering is moving beyond individual models toward full-stack systems that bring together models, inference, data, and infrastructure. Join Mistral, Neo4j, Daytona, and SGLang for an evening of practical conversations about what it takes to build and run modern AI… Read more →

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Early release: O’Reilly’s definitive guide to GraphRAG

Learn how graph-powered retrieval offers context-rich, explainable answers in the early release edition of GraphRAG: The Definitive Guide from O’Reilly.

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Reusable skills and procedural memory with graph engineering | Asia Pacific

Join us on October 6th to hear how graph engineering enables AI agents to reliably execute reusable skills with portable procedural memory that improves governance and performance.

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Reusable skills and procedural memory with graph engineering | Europe

Join us on October 6th to hear how graph engineering enables AI agents to reliably execute reusable skills with portable procedural memory that improves governance and performance.

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Reusable skills and procedural memory with graph engineering

Join us on October 6th to hear how graph engineering enables AI agents to reliably execute reusable skills with portable procedural memory that improves governance and performance.

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The AI Conference 2026

Building AI that’s accurate, explainable, and grounded in your real enterprise data is harder than it looks. At The AI Conference 2026, we’ll showcase how Neo4j gives AI a knowledge layer: the connected context it needs to reason, connect facts,… Read more →

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Turn complex documents into scalable knowledge graphs | Asia Pacific

Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.

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