NODES 2025 - Live-Coding Graph-Native Agents: Neo4j AuraDB + Microsoft Agent Framework in Action

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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

AI agents are great at reasoning — but not at remembering. In this live-coding session, we’ll connect Microsoft’s new Agent Framework with Neo4j AuraDB, built and deployed in Azure AI Foundry — giving agents a true graph memory. You’ll see how an agent uses AuraDB as a GraphRAG-style knowledge base, reading and writing relationships in real time to reason over connected data. Expect clean architecture, runnable code, and practical lessons from building a graph-native agent that blends reasoning, retrieval, and relationships. Speaker: Christian Glessner 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