Integration of Large Language Models (LLMs) and RAG for Nepali Dataset Introduction The integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) has revolutionized the field of Natural Language Processing (NLP) , especially for underrepresented languages like Nepali. This approach combines the generative power of LLMs with the contextual precision of retrieval systems, making it a perfect solution for creating applications like NagarGPT a chatbot that provides Nepali users with accurate, contextually relevant responses. This blog delves into the tools, methodologies, and architecture behind this integration, showcasing how it bridges the gap in Nepali NLP and opens doors to innovative applications.