Legal Documents Query Application for Vietnamese Law Using LLM and RAG Techniques

Abstract

This paper introduces the development of a Legal Documents Query Application for Vietnamese law, leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. It outlines the methodologies employed, addresses key challenges, and highlights the significance of the application in improving the accuracy and efficiency of legal document retrieval in specialized domains. By combining cutting-edge AI techniques with domain-specific optimizations, the proposed solution aims to enhance access to legal information for a wide range of users.