In the rapidly evolving field of AI, retrieval is only half the battle. The other half? Knowing how to move through your data - deterministically, intelligently, and at scale.

This is a follow-up to our popular "How to Build a Knowledge Graph for AI" blog post. This time, we go deeper: instead of building the graph, we focus on navigating it - using an LLM to generate queries that traverse a rich, structured knowledge graph and return grounded, deterministic answers.

We'll work with an e-commerce graph that combines relational data, embedded product descriptions, and customer reviews - showing exactly how an agentic system can reason across all of it.