# Creating RAG-Based Question-and-Answer LLM Workflows at NVIDIA

**URL:** <https://forums.developer.nvidia.com/t/creating-rag-based-question-and-answer-llm-workflows-at-nvidia/311405>\
**Category:** Technical Blog\
**Created:** [October 28, 2024, 4:00pm UTC](https://forums.developer.nvidia.com/t/creating-rag-based-question-and-answer-llm-workflows-at-nvidia/311405 "2024-10-28T16:00:18Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![jwitsoe](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/jwitsoe/32/16591_2.png) [@jwitsoe](https://forums.developer.nvidia.com/u/jwitsoe)\
**Post date:** [October 28, 2024, 4:00pm UTC](https://forums.developer.nvidia.com/t/creating-rag-based-question-and-answer-llm-workflows-at-nvidia/311405/1 "2024-10-28T16:00:18Z")

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Originally published at: [Creating RAG-Based Question-and-Answer LLM Workflows at NVIDIA | NVIDIA Technical Blog](https://developer.nvidia.com/blog/creating-rag-based-question-and-answer-llm-workflows-at-nvidia/)  
   
The rapid development of solutions using retrieval augmented generation (RAG) for question-and-answer LLM workflows has led to new types of system architectures. Our work at NVIDIA using AI for internal operations has led to several important findings for finding alignment between system capabilities and user expectations.&nbsp; We found that regardless of the intended scope or…

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**Author:** ![TomNVIDIA](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tomnvidia/32/14181_2.png) [@TomNVIDIA](https://forums.developer.nvidia.com/u/TomNVIDIA)\
**Post date:** [October 28, 2024, 4:01pm UTC](https://forums.developer.nvidia.com/t/creating-rag-based-question-and-answer-llm-workflows-at-nvidia/311405/2 "2024-10-28T16:01:13Z")

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Listed on October 28, 2024, 4:01pm UTC