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

ABSTRACT:

Background

Dietary supplements (DSs) are widely used to improve health and nutrition, but challenges related to misinformation, safety, and efficacy persist due to less stringent regulations compared with pharmaceuticals. Accurate and reliable DS information is critical for both consumers and health care providers to make informed decisions.

Objective

This study aimed to enhance DS-related question answering by integrating an advanced retrieval-augmented generation (RAG) system with the integrated Dietary Supplement Knowledgebase 2.0 (iDISK2.0), a dietary supplement knowledge base, to improve accuracy and reliability.

Methods

We developed iDISK2.0 by integrating updated data from authoritative sources, including the Natural Medicines Comprehensive Database, the Memori

SUBMITTER: Hou Y 

PROVIDER: S-EPMC11966073 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature