AIBullisharXiv – CS AI · 18h ago6/10
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Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering
Researchers have successfully developed the first Retrieval Augmented Generation (RAG) system for legal question answering in Nepali, addressing a critical gap in AI applications for low-resource languages. The system achieved 91% precision using BM25 retrieval and demonstrated 84% human-evaluated truthfulness, establishing a viable foundation for AI-assisted legal services in non-English speaking jurisdictions.