RAG 101: Retrieval-Augmented Generation Questions Answered – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-13T20:13:39Z http://www.open-lab.net/blog/feed/ Hayden Wolff <![CDATA[RAG 101: Retrieval-Augmented Generation Questions Answered]]> http://www.open-lab.net/blog/?p=75743 2024-11-20T23:02:36Z 2023-12-18T19:44:42Z Data scientists, AI engineers, MLOps engineers, and IT infrastructure professionals must consider a variety of factors when designing and deploying a RAG...]]> Data scientists, AI engineers, MLOps engineers, and IT infrastructure professionals must consider a variety of factors when designing and deploying a RAG...Image of a person sitting at a desk with a computer. Three monitor images float above the desk.

Data scientists, AI engineers, MLOps engineers, and IT infrastructure professionals must consider a variety of factors when designing and deploying a RAG pipeline: from core components like LLM to evaluation approaches. The key point is that RAG is a system, not just a model or set of models. This system consists of several stages, which were discussed at a high level in RAG 101��

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