4 min readJust now

If you’ve ever asked yourself, “Does GraphRAG really outperform vanilla RAG — and by how much?”, you’re not alone. It’s a question that’s been floating around among devs and researchers alike, especially those working on RAG tasks.

A recent study dives right into this exact question, using a focused and rigorous setup: textbook-level retrieval QA, page by page.

It used the undergraduate math textbook “An Infinite Descent into Pure Mathematics” as their dataset. After OCR processing using the GPT Vision model, they created a custom benchmark of 477 samples, which were manually reviewed and filtered down from an initial set of 628. Each consisting of a question, answer, and the specific textbook page it’s based on.…

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