RAGMark: A Comprehensive Framework for Benchmarking Retrieval-Augmented Generation Systems
We present RAGMark, a modular benchmarking framework for advanced Retrieval-Augmented Generation (RAG) systems targeting small-scale multi-GPU environments. RAGMark evaluates diverse RAG components, including retrievers, vector databases, prompt-processing methods, and generator models, while collecting detailed per-st...
Z. Feric, Amir Taherin, Bin Ren et al.
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