GraphRAG Benchmark: A 2 Million Token Comparison of LLM-only, Basic RAG, and GraphRAG

Can graph-structured retrieval outperform traditional vector-based RAG while using fewer tokens, lower cost, and delivering better answers? That was the core question I set out to answer. To test it rigorously, I built a production-grade benchmarking platform that compares: LLM-only Basic RAG (ChromaDB) GraphRAG (NetworkX) The benchmark runs on a 2 million token scientific paper corpus, evaluates each pipeline on 40 benchmark questions, and measures: Token usage Latency Cost LLM-as-a-Ju...