Traditional RAG struggles to capture document relationships and hierarchy, leading to hallucinations and incomplete answers. Knowledge graphs give AI agents the structure needed to reason over complex information with greater accuracy.

In this webinar, we'll demonstrate how to convert semi-structured documents, with legal knowledge as an example domain, into a scalable knowledge graph. We'll also guide you through the full engineering lifecycle, starting with raw schemas and graph constructions. From there, we'll cover deterministic traversal and agentic GraphRAG workflows.

See how agents navigate complex knowledge graphs while maintaining context, and how GraphRAG improves decision quality while reducing operational risk. Hear lessons learned from building a legal knowledge graph, with repeatable patterns applicable across industries.