Three Memory Types Every Production AI Agent Needs – Europe

Join us on April 7 to learn how neo4j-agent-memory enables you to build context graphs that give your production AI agents persistent, graph-connected memory.

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Three Memory Types Every Production AI Agent Needs

Join us on April 7 to learn how neo4j-agent-memory enables you to build context graphs that give your production AI agents persistent, graph-connected memory.

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GraphTalk Manufacturing – Germany: Unlock the Power of Connected Data

2nd edition of GraphTalk manufacturing returns on July 2nd, 2026 in Munich. Join Neo4j for a half-day event exploring how graph technology helps manufacturing organizations improve supply chain visibility, build richer Customer 360 views, support AI reasoning, and better understand… Read more →

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Digital Experience Nordic 2026

Join us at Digital Experience Nordic 2026, a leading leading Digital Forensics and Cyber Crime conference in the Nordic region, bringing together professionals working in Digital Forensics, Data Analytics, OSINT, Crypto investigations, and Cybersecurity. The event gathers over 250 professionals… Read more →

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Context Engineering for AI Agents

Nyah Macklin, a Senior Developer Advocate for AI at Neo4j, will show you how to engineer context effectively for AI applications. You’ll explore multiple context management approaches—including prompt management, retrieval-augmented generation (RAG), and knowledge graphs—and learn how to use Neo4j… Read more →

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Connect the Dots With Context Graphs – Asia Pacific

Join us on March 24 and learn how context graphs, or “living graphs,” enable agents to search for precedents by linking decisions, constraints, tool calls, and outcomes.

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Connect the Dots With Context Graphs – Europe

Join us on March 24 and learn how context graphs, or “living graphs,” enable agents to search for precedents by linking decisions, constraints, tool calls, and outcomes.

Explore:  


Connect the Dots With Context Graphs

Join us on March 24 and learn how context graphs, or “living graphs,” enable agents to search for precedents by linking decisions, constraints, tool calls, and outcomes.

Explore:  


Designing Meaning: Integrating Ontologies Into Practical Graph Models – Asia Pacific

Join us for a 30-minute session on how domain modelling and ontology integration come together in graph schema design. Learn how to build scalable, semantically rich, and AI-ready data foundations that reflect the real world.

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