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RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM

128 upvotes · 13 JUL 2026 · Mikhail Komarov, Ivan Bondarenko, Stanislav Shtuka et al.

This paper introduces RAGU, an open-source GraphRAG engine that improves large language models with structured knowledge by separating extraction and consolidation, and trains a compact extractor that outperforms larger models on knowledge-graph construction and GraphRAG tasks. Practitioners might care because RAGU can efficiently generate more accurate and complete context for tasks like factoid-level evidence recall and multi-hop question answering.

graph retrievalcontinual learninglarge language modelsknowledge graphsentity extractioncommunity detection