RAG = Retrieval-Augmented Generation.At a high level, it’s any system that retrieves relevant pieces of external knowledge (documents, passages, rows, images, etc.) and conditions a generative model (an LLM) on those retrieved pieces to produce an an...

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Sonu Goswami
Sonu Goswami | B2B SaaS Positioning Specialist
Solid breakdown especially the chunking + overlap tip. Have you tried mixing dense and sparse retrieval in the same RAG pipeline?