Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.

ABSTRACT:

Background

The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to the large volume of data, obtaining useful insights through natural language processing technologies such as large language models is challenging.

Objective

This paper aims to develop a retrieval-augmented generation (RAG) architecture for medical question answering pertaining to clinicians' queries on emerging issues associated with health-related topics, using user-generated medical information on social media.

Methods

We proposed a two-layer RAG framework for query-focused answer generation and evaluated a proof of concept

SUBMITTER: Das S 

PROVIDER: S-EPMC11747534 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature