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 Lumley

Neo4j

Requirements:
You'll need a laptop with a web browser.

Venue:
Level 4 - Microsoft Canberra, 6 National Circuit Barton, ACT 2600

Sponsors:
Neo4j and Microsoft