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arxiv:2404.00657
Observations on Building RAG Systems for Technical Documents
Published on Mar 31
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Abstract
Retrieval augmented generation (RAG) for technical documents creates challenges as embeddings do not often capture domain information. We review prior art for important factors affecting RAG and perform experiments to highlight best practices and potential challenges to build RAG systems for technical documents.
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