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Knowledge Graph-Based Legal Query System with LLM and Retrieval Augmented Generation

A paper proposing a knowledge graph-based legal query system using large language models and retrieval augmented generation.

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Knowledge Graph-Based Legal Query System with LLM and Retrieval Augmented Generation

By Dung V. Dang, Hau Nguyen, Trinh Van Le, Hung Xuan, Hung Thanh Nguyen, Hung Q. Ngo, Hien Nguyen, Hung Q. NgoCommunications in computer and information science
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The authors propose a knowledge graph-based legal query system that leverages large language models and retrieval augmented generation to improve query efficiency. The system is designed for legal applications, utilizing a knowledge graph to store and retrieve relevant information.

This approach aims to enhance the accuracy and speed of legal queries by combining the strengths of both knowledge graphs and large language models.

Abstract

The authors propose a knowledge graph-based legal query system that leverages large language models and retrieval augmented generation to improve query efficiency. The system is designed for legal applications, utilizing a knowledge graph to store and retrieve relevant information. This approach aims to enhance the accuracy and speed of legal queries by combining the strengths of both knowledge graphs and large language models.

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legal-query-systemknowledge-graphllmragKnowledge GraphsLarge Language ModelsRetrieval & RAGSemantic Interoperability
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Knowledge Graph-Based Legal Query System with LLM and Retrieval Augmented Generation | Aramai