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LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration

Summary: Introduces LEGO-GraphRAG, a modular decomposition of graph+LLM RAG workflows to classify, compose, and synthesize GraphRAG instances. Uses the framework for large-scale design-space exploration, revealing tradeoffs among reasoning accuracy, latency, and token/GPU cost. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13959
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,666 | 25.80%
DOI
10.14778/3748191.3748194

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