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Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) like GPT variants both play distinct yet interrelated roles in advancing machine learning applications. Initiated as separate entities—RAG for enhancing data sourcing and LLMs for linguistic processing—their integration culminates in a robust solution for context-aware, domain-specific data generation. RAG introduces a