This AI Paper Outlines the Three Development Paradigms of RAG in the Era of LLMs: Naive RAG, Advanced RAG, and Modular RAG

The exploration of natural language processing has been revolutionized with the advent of LLMs like GPT. These models showcase exceptional language comprehension and generation abilities but encounter significant hurdles. Their static knowledge base often challenges them, leading to outdated information and response inaccuracies, especially in scenarios demanding domain-specific insights. This gap calls for innovative strategies […]

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