Evolution of RAGs: Naive RAG, Advanced RAG, and Modular RAG Architectures

Large language models (LLMs) have revolutionized AI by proving their success in natural language tasks and beyond, as exemplified by ChatGPT, Bard, Claude, etc. These LLMs can generate text ranging from creative writing to complex codes. However, LLMs encounter challenges like hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes. Retrieval-augmented generation (RAG) has emerged as […]

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