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Graph Retrieval-Augmented Generation for Large Language Models: A Survey

A survey on incorporating Knowledge Graphs with Large Language Model Retrieval-Augmented Generation.

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Graph Retrieval-Augmented Generation for Large Language Models: A Survey

By Tyler Procko, Omar Ochoa
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The paper surveys work that combines Knowledge Graphs with Large Language Model Retrieval-Augmented Generation to optimize model performance. It highlights the importance of precise document selection and noise-free corpora for expert tasks.

The authors aim to provide a comprehensive understanding of this research area for future work.

Abstract

The paper surveys work that combines Knowledge Graphs with Large Language Model Retrieval-Augmented Generation to optimize model performance. It highlights the importance of precise document selection and noise-free corpora for expert tasks. The authors aim to provide a comprehensive understanding of this research area for future work.

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knowledge graph surveyllm optimizationrag document selectionnoise-free corporaexpert tasksresearch area overviewKnowledge GraphsLarge Language ModelsRetrieval & RAGSemantic Interoperability
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