arxivcs.IRcs.AIcs.CLcs.DB2026-07-13Cited by 1
FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis
Marlena Flüh, Soo-Yon Kim, Carolin Victoria Schneider, Sandra Geisler
Retrieval-Augmented Generation (RAG) addresses the limitations of Large Language Models (LLMs) when providing responses to domain-specific questions. Graph-based RAG approaches, such as GraphRAG, enhance retrieval by capturing semantic relationships within knowledge graphs (KGs).…