Road to NODES | Build Your First Knowledge Graph AI Agent with Neo4j MCP
This hands-on workshop shows you how to build smarter AI agents: ones that don’t lose context. You’ll use Neo4j’s Model Context Protocol (MCP) to give your agents persistent, graph-based memory, allowing for richer, multi-turn interactions and intelligent behavior grounded in your data.
You’ll walk through the full agent-building process: from setting up a knowledge graph, to integrating GraphRAG for multi-hop reasoning, and deploying an agent with contextual memory that evolves over time. By the end of the session, you’ll have a working, production-ready AI agent you can extend for your own use cases.
You will learn:
- How to use Neo4j MCP to persist context across interactions
- How to build and query a knowledge graph for intelligent agents
- How to implement GraphRAG for contextual, multi-hop retrieval
- How to deploy and optimize your AI agent for real-world use
Register for all workshops: https://neo4j.registration.goldcast.io/series/0acbef0b-15ad-42da-a066-804dc620b44d
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