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All the blogs I've archived.

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  • 7 most widely used flavours of Retrieval-Augmented Generation (RAG)

    Retrieval-Augmented Generation (RAG) has rapidly evolved into multiple variants, each designed to tackle different challenges of grounding LLMs in external knowledge. In this article, we break down seven of the most widely used RAG โ€œflavorsโ€, from standard and advanced setups to graph-based, multi-modal, and self-reflective approaches and explain their unique strengths, trade-offs, and real-world use cases.

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