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README.md
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Under Construction, please come back in a few days!
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工事中です。数日後にまたお越しください。
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Most retrieval methods have strong tradeoffs:
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* __Traditional sparse approaches__, such as BM25, are strong baselines, __but__ do not leverage any semantic understanding, and thus hit a hard ceiling.
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Under Construction, please come back in a few days!
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工事中です。数日後にまたお越しください。
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# Intro
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## Training Data
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## Training Method
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# Results
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# Why use a ColBERT-like approach for your RAG application?
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Most retrieval methods have strong tradeoffs:
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* __Traditional sparse approaches__, such as BM25, are strong baselines, __but__ do not leverage any semantic understanding, and thus hit a hard ceiling.
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