Martijn Verbove@verboveAI · #2

You built a graph from your data. Now what? Plain RAG has one knob: embed → similarity → top-k. Same recipe for every question. Graph RAG has three tools, and an LLM that picks the right one before any retrieval happens: → Global · summarize the whole graph → Local · find the entity, walk the neighborhood → Cypher · write a real database query The trick isn't the search. It's the router that decides how to look. 4 slides ↓

Graph RAG retrieval pattern with routing logic