Join us for an exclusive, hands-on experience designed for developers, architects, and application owners looking to deepen their expertise in Neo4j’s powerful graph technology.
This in-person workshop takes you from graph fundamentals to a working, agent-ready knowledge layer. Across two guided labs, you’ll build a knowledge graph from real documents, then create agents that answer questions against it—ideal for GenAI systems that prioritize accuracy, relevance, and explainability.
Here's what you'll learn:
- Graph Basics: Overview of graph databases, Cypher, and the knowledge layer
- Lab 1 – Build the Knowledge Graph: Guided document ingestion using a real-world legal dataset, data modeling best practices, and visualization with Neo4j Bloom
- Lab 2 – Build Your Own Agent: Hands-on with Aura Agents and MCP integration to ask questions of your documents—on a populated Aura instance we provide
- Production Best Practices: Architecture considerations for a production-ready knowledge graph, LangChain and other integration paths, plus a take-home repo of tools
