NODES 2025 - The Fastest Path To Building An Agent For Your Knowledge Graph Is By Using 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

The focus of this talk is on building AI agents that construct and leverage knowledge graphs using the Neo4j Model Context Protocol (MCP) server. You will learn how to rapidly build production-ready AI agents using the Neo4j MCP server. In addition, you will learn to create agents that dynamically construct and curate Neo4j knowledge graphs while using them for agent memory and GraphRAG use cases. This session covers practical implementation strategies for agent-to-Neo4j integration, intelligent curation workflows, and advanced retrieval mechanisms. You will explore architectures that treat knowledge graphs as both memory layers and contextual reasoning foundations. By the end, you will have the tools to rapidly prototype and deploy AI agents that transform unstructured data into knowledge graphs and enhance reasoning capabilities through sophisticated GraphRAG implementations. Speaker: William Lyon 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