Neo4j is a leading graph database platform, and we have a long standing partnership with Google Cloud engineering. Our fully managed SaaS offering, Neo4j Aura, is available as a managed service on Google Cloud through the Google Cloud Marketplace.
In this hands on workshop, you will learn how to use Neo4j together with Google Cloud Gemini Enterprise. Designed for data scientists and data engineers, the session walks through deploying both technologies within a Google Cloud environment.
You will work with a real world dataset and explore different approaches to parsing and loading data using both traditional methods and AI driven techniques. The session also covers how to build AI agents that leverage a knowledge graph. By the end, you will have a strong foundation for applying graph based AI to your own data.
As part of the workshop, we will analyze public regulatory filings to uncover relationships between asset managers and their holdings using Neo4j Query and Explore. For those in capital markets, this approach can support use cases such as enhancing trading strategies, assessing risk, and improving securities data management. At the same time, the techniques are broadly applicable to any domain that involves complex, connected data.
Regardless of your industry, you’ll gain hands-on experience building agentic AI solutions with Neo4j and Gemini Enterprise, and walk away with practical ideas you can apply to your own data challenges.
Network After the Workshop!
Lunch and beverages will be served. This event is free, but space is limited—register today!
Requirements
You'll need a laptop with a web browser. Your browser will need to be able to access the Google Cloud Console and port 7474 on a Neo4j deployment running on Google Cloud. If your laptop has a firewall you can't control, you may want to bring your personal laptop.
Introductions
Lecture - Introduction to Neo4j (10 min)
Lab 0 - Sign In (5 min)
Lab 1 - Deploy Neo4j (15 min)
Lab 2 - Connect to Neo4j (10 min)
Break (5 min)
Lecture - Moving Data (10 min)
Lab 3 - Moving Data (15 min)
Lab 4 - Exploration (10 min)
Break (5 min)
Lecture - Gemini Enterprise (15 min)
Lecture - Neo4j and AI (15 min)
Lab 5 - Knowledge Graph Builder (20 min)
Lab 6 - Neo4j Agent and Gemini Enterprise (20 min)
Lab 7 - Custom Agents with Langchain (20 min)
Questions and Next Steps (5 min)
