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Outcome School · AI agents12 min read

by Amit Shekhar · 5 May 2026

GraphRAG

GraphRAG and how it improves retrieval by using a knowledge graph along with vector search.

2,246 words#ai-agent#llm#ai#machine-learning4 recall cards

GraphRAG
Read on Outcome School ↗then come back to lock it in
Before you read, guess

What limitation prevents standard RAG from answering multi-hop questions?

Ten seconds, a guess, then read — a wrong guess still makes the answer stick.

What this article covers

  1. What is GraphRAG?
  2. Why normal RAG is not enough
  3. The big picture of GraphRAG
  4. How GraphRAG builds the knowledge graph
  5. How GraphRAG answers a question
  6. Local search vs Global search
  7. When to use GraphRAG
  8. Trade-offs of GraphRAG

The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.

Before you go

In one sentence, what was this chapter about?

From memory, without scrolling up. Writing it is what makes it yours; the grade is only to show you what you had.

How sure?