This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (723) AI Language Models in Health Care (207) Instruments and Questionnaires for Nutrition and Food Intake (215) Information Retrieval (352) Information Seeking, Information Needs (561)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67677, first published .
Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models

Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models

Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models

Authors of this article:

Yu Hou1 Author Orcid Image ;   Jeffrey R Bishop2 Author Orcid Image ;   Hongfang Liu3 Author Orcid Image ;   Rui Zhang1, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Zuo J, Niu J. Construction of Journal Knowledge Graph Based on Deep Learning and LLM. Electronics 2025;14(9):1728 View
  2. Belkhouribchia J, Pen J. Large language models in clinical nutrition: an overview of its applications, capabilities, limitations, and potential future prospects. Frontiers in Nutrition 2025;12 View
  3. Anghelescu A, Munteanu C, Anghelescu L, Onose G. ”A Midsummer Night’s Dream” quest for truth: From ChatGPT “hallucinations” to RAG reasoning and ACURAI precision — a scoping review on detection, minimizing, and (almost) complete error elimination and enhancing Large Language Models' re-liability. Balneo and PRM Research Journal 2025;16(Vol 16 No. 3):847 View
  4. Xu C, Yu Y, Khadakkar G, Xie J, Xu D, Yao Q. Multimodal knowledge expansion widget powered by plant protein phosphorylation database and ChatGPT. Frontiers in Bioinformatics 2025;5 View
  5. Miao Y, Zhao Y, Luo Y, Wang H, Wu Y. Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review. Journal of Medical Internet Research 2025;27:e80557 View
  6. Wang S, Zhang Y, Gao Y, He X, Deng G, Du J. Knowledge graph-augmented large language models for reconstructing life course risk pathways: a gestational diabetes mellitus-to-dementia case study. Journal of the American Medical Informatics Association 2025 View