Register here for Knowledge Graphs & Graph RAG for Enterprise AI with ** with @benjamin.squire, Senior Developer Advocate at Neo4j and @hamza50, Founder | Ex-Google & Walmart Labs |Adjunct UCLA & UMN, SCU | Venture Partner
What you'll learn
Compare RAG and GraphRAG performance
Understand where GraphRAG improves retrieval, reasoning, and answer quality over traditional RAG and keyword search
Build and maintain dynamic knowledge graphs
Learn practical approaches for updating, governing, and scaling a knowledge graph over time.
Design enterprise-ready GraphRAG systems
Explore role-based access, security, and real-world use cases for production AI applications.
Why this topic matters
As AI agents move into production, retrieval quality becomes a competitive advantage. Understanding when GraphRAG outperforms traditional RAG and how to manage knowledge graphs securely at scale is essential for building accurate, reliable enterprise AI systems.