Evaluating LLM-Based Retrieval-Augmented Generation for Soil Science Question Answering
Retrieval-augmented generation (RAG) systems for scientific literature require evidence-based choices of document segmentation, representation, retrieval, and generation components, particularly when the source collection varies in topical specificity and document structure. This study addresses the lack of an end-to-e...
Karla Topić, Marina Bagić Babac, Vedran Mornar
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