Article

Creating a biomedical knowledge base by addressing GPT inaccurate responses and benchmarking context

2025-09-02

Abstract excerpt

<h4>Background: </h4> We created the GeneNetwork Question Answer system (GNQA), a generative pre-trained transformer (GPT) knowledge base driven by a performant retrieval augmented generation (RAG) with a focus on aging, dementia, Alzheimer’s, and diabetes. Methods We uploaded a corpus of three thousand peer reviewed publications on these topics into the RAG. To address concerns about inaccurate responses and GPT...

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Literature Corpus work: 756b1214-a703-53dc-ad5d-6f67571cdc67
DOI: 10.12688/openresafrica.15854.1

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