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KRLabsOrg/verbatim-rag-modern-bert-v2 is a ModernBERT-based model designed for Retrieval-Augmented Generation (RAG) systems. It specializes in verbatim passage retrieval, extracting exact text segments to provide precise context for language models. This second iteration offers improved accuracy and efficiency for information extraction tasks.
Comments (5)
does verbatim extraction miss stuff that chunking with overlap would catch?
benchmarks vs bge-m3 for exact passage retrieval?
Verbatim extraction breaks down on noisy production data.
what chunk sizes were benchmarked for the verbatim extraction?
verbatim retrieval market seems pretty small vs semantic search competitors
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