Graphtalk: Gen AI – Unlock the power of Graphs & GenAI for Public Sectors in India with Neo4j & Google Cloud

Join us for an exclusive on-site event in New Delhi, India where Neo4j & Google Cloud come together to showcase how Graph Data and GenAI are enabling a new era of Connected Governance. Neo4j’s graph technology reveals relationships hidden within complex… Read more →

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Build AI Agents with Intelligent MCP Workflows – Asia Pacific

Join us for a 45-min tutorial on how to build an AI agent that can reliably plan, reason, and execute tasks with Model Context Protocol (MCP).

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Learn: How to Get Your Data AI-Ready with Knowledge Graphs & GraphRAG – Asia Pacific

Join us for a 30-minute walk-through where you’ll learn how to make your data AI-ready using GraphRAG and how to get more GenAI apps and AI agents up and running.

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Everything a Developer Needs to Know About MCP (Model Context Protocol) – Asia Pacific

Join us for a 30-minute rundown on how to implement the Model Context Protocol (MCP). Get tips on implementation and building context-aware AI agents.

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Learn: What Is a Knowledge Graph, and the Core Skills to Integrate It into Your AI Stack – Asia Pacific

Knowledge graphs play an essential role in grounding LLMs for enterprise-grade GenAI, but what exactly are they, and how do they work with GenAI? Join this 45-minute webinar to find out.

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AI-Assisted Graph Data Modeling with MCP – Asia Pacific

Join us for a 30-minute rundown on how to use the open-source MCP for Neo4j to improve AI reasoning, so it can assist in graph data modeling.

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Experts Live – How your world becomes a knowledge graph with Mixed Reality, Drones and AI

AI may be powerful, but it still needs a trusted source of truth and graphs are perfect when that truth is dynamic and relational. You’ll explore how drones, Mixed Reality, and a multimodal AI agent can map and understand an… Read more →

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Neo4j GraphRAG Virtual Workshop – Asia Pacific

Take your AI applications to the next level by mastering GraphRAG in this exclusive Neo4j virtual workshop. Discover how to use the neo4j-graphrag open-source python package to build and optimize Retrieval-Augmented Generation (RAG) systems seamlessly integrated with generative AI models.

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Build Intelligent Agents Grounded in Enterprise Data in Minutes – Asia Pacific

Get a 30-minute overview of Aura Agent. Learn how to easily and quickly build AI agents grounded in enterprise data due to a knowledge graph.

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