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Study finds that fewer documents can lead to better performance in RAG systems
Study finds that fewer documents can lead to better performance in RAG systems

Researchers at the Hebrew University of Jerusalem have discovered that the number of documents processed in Retrieval Augmented Generation (RAG) affects language model performance, even when the total text length remains constant.
The article Study finds that fewer documents can lead to better performance in RAG systems appeared first on THE DECODER.

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