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Retrieval-Augmented Generation (RAG) models combine a retrieval component—often a vector‐based search over an external knowledge source—with a generative language model. The basic RAG pipeline is: Query encoding & retrieval Cross-correlation among retrieved contexts Generator conditioning Why cross-correlation matters in RAG Reducing redundancy: When multiple retrieved chunks say the same thing, naive concatenation wastes tokens. Cross-correlation …

Over a decade after the Pedestrian Shops became the world's first solar-powered shoe stores, we’ve now become the first shoe stores to sell shoes without a carbon footprint. Thanks to our new partnership with green-tech platform, UCapture, when you buy a pair of shoes you can instantly offset 100 lbs. of CO2 from a verified carbon …