Evaluating Retriever for Enterprise-Grade RAG – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-23T19:27:29Z http://www.open-lab.net/blog/feed/ Benedikt Schifferer <![CDATA[Evaluating Retriever for Enterprise-Grade RAG]]> http://www.open-lab.net/blog/?p=78222 2024-10-28T21:59:05Z 2024-02-23T19:02:26Z The conversation about designing and evaluating Retrieval-Augmented Generation (RAG) systems is a long, multi-faceted discussion. Even when we look at retrieval...]]> The conversation about designing and evaluating Retrieval-Augmented Generation (RAG) systems is a long, multi-faceted discussion. Even when we look at retrieval...Illustration demonstrating RAG.

The conversation about designing and evaluating Retrieval-Augmented Generation (RAG) systems is a long, multi-faceted discussion. Even when we look at retrieval on its own, developers selectively employ many techniques, such as query decomposition, re-writing, building soft filters, and more, to increase the accuracy of their RAG pipelines. While the techniques vary from system to system��

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