2025-05-10
Five major obstacles are holding back RAG systems in healthcare
Retrieval-augmented generation (RAG) promises to help medical AI systems deliver up-to-date and reliable answers. But a new review shows that, so far, RAG rarely works as intended in real-world healthcare settings—and technical, regulatory, and infrastructure hurdles are slowing its adoption.
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2025-11-06
Why Google’s File Search could displace DIY RAG stacks in the enterprise
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From shiny object to sober reality: The vector database story, two years later
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2025-03-30
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 [...]