SG-RAG MOT: SubGraph Retrieval Augmented Generation with Merging and Ordering Triplets for Knowledge Graph Multi-Hop Question Answering

Large language models (LLMs) often tend to hallucinate, especially in domain-specific tasks and tasks that require reasoning. Previously, we introduced SubGraph Retrieval Augmented Generation (SG-RAG) as a novel Graph RAG method for multi-hop question answering. SG-RAG leverages Cypher queries to se...

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Hlavní autoři:	Ahmmad O. M. Saleh, Gokhan Tur, Yucel Saygin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-08-01
Edice:	Machine Learning and Knowledge Extraction
Témata:	large language model knowledge graph question answering multi-hop question graph RAG
On-line přístup:	https://www.mdpi.com/2504-4990/7/3/74
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