Join us as Neo4j explains how graph reveals the natural connections in your business data and provides the context AI needs to deliver real results. See how leading organizations turn enterprise knowledge into competitive advantage, powering intelligent decisions and driving business transformation.
- Hands-On Workshop: Go from Zero to Production with Neo4j, Aura, and AI Agents
In this hands-on workshop, you’ll build practical graph skills from the ground up. Learn how to model and load relational data into Neo4j, turn it into a working knowledge graph, and visualize key relationships and metrics. Then, put it all into action by creating an AI agent on Neo4j Aura—so you can query, explore, and converse with your data to uncover insights and hidden connections.
No prior graph experience required; you’ll leave with a clear path to taking graph-powered applications into production. - Hands-On GraphRAG Workshop: Build Smarter GenAI Apps with Knowledge Graphs
While GenAI offers great potential, it faces challenges with hallucination and limited domain knowledge. Graph-powered retrieval augmented generation (GraphRAG) helps overcome these challenges by integrating vector search with knowledge graphs and data science techniques. This approach improves context, enhances semantic understanding, enables personalization, and facilitates real-time updates.
In this workshop, you’ll explore detailed code examples to kickstart your journey with GenAI and graphs. You’ll leave with practical skills you can immediately apply to your own projects.
