NODES 2025 - All Aboard: Reasoning with LLMs and Neo4j via MCP

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

Ever wondered how an AI agent could navigate the London Underground? This lightning session introduces the official MCP server for Neo4j—your bridge between LLMs, agents, and the graph. We’ll explore how graphs unlock more powerful reasoning for analysis questions, using a graph model of the London Tube as our test case. Watch as an agent queries Neo4j via MCP to answer real questions about the network, and get a preview of upcoming features that make it easier than ever to bring graphs into your AI workflows. You’ll leave ready to try the MCP server yourself and start building graph-powered AI experiences. Speakers: Jonathan Giffard & Michael Webb Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph