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Description:
Join Neo4j and Microsoft for an hands-on workshop where you’ll learn how to build AI agents powered by knowledge graphs. Limited to 50 qualified builders.
In this session, we will build a functional GraphRAG pipeline within a live Azure environment. Moving beyond high-level theory, you will deploy Neo4j Aura and integrate it with Microsoft Foundry to implement a complete, end-to-end architecture for reasoning over connected data.
What You Will Learn:
We’ll use SEC EDGAR filings—specifically the quarterly holdings of asset managers with $100M+ in assets under management (AUM)—as our primary dataset. This data is ideal for demonstrating how to map complex ownership structures and many-to-many relationships.
✅ Build AI agents that leverage knowledge graphs
✅ Automate Ingestion: Use AI to parse and load data from Azure Blob Storage into Neo4j.
✅ Model Relationships: Use Cypher and the Neo4j Browser to map connections between thousands of portfolios and their institutional holdings.
✅ Orchestrate Agents: Layer a Microsoft Foundry AI agent over the graph to enable natural language reasoning across the connected financial data.
Who should attend:
Developers, Builders, Data engineers, Data scientists, and Tech leaders.
Speakers
Ben Lackey, Solution Architect, Neo4j
Kevin Gates, Principal Partner Solution Architect, Microsoft
Mike Shelton, Principal Partner Solution Architect, Microsoft
Lauren Hartman, Partner Solution Architect, Microsoft
Agenda
1:30PM Check-In
2:00PM: AI Hands-On Workshop with Neo4j and Google Gemini
3:00PM: Break
3:30PM: Presentation: Moving Data
4:30PM: Presentation: Gemini Enterprise, Neo4j, and AI
5:00PM: Networking & Refreshments