Journal of Medical Internet Research

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

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 ...
Journal of Medical Internet Research

Evolving Health Information–Seeking Behavior in the Context of Google AI Overviews, ChatGPT, and Alexa: Interview Study Using the Think-Aloud Protocol

Methods: We conducted in-depth qualitative research with 27 participants (ages 19-80 years) using a think-aloud protocol. Participants searched for health information across 3 platforms—Google, ...
IEEE

Cloud Property Retrieval Based on DISAMAR Using Oxygen-A and Oxygen-B Band Measurements by TROPOMI on Sentinel-5P

Abstract: Determining instrument specifications and analyzing methods for atmospheric retrieval (DISAMAR) is a radiative-transfer (RT) model developed to simulate retrievals of atmospheric components ...
InfoQ

Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martin Kleppmann, an associate professor at ...
IEEE

Retrieval of Ocean Surface and Atmospheric Parameters from K- and Ka-Band Data Using a Physics-Informed Coupled Neural Network

Abstract: Sea surface temperature (SST), sea surface wind speed (SSW), and total column water vapor (WV) are critical parameters for understanding ocean-atmosphere interactions. While conventional ...
GitHub

YourOwnAI — Vector Database + RAG Pipeline from Scratch in Python

A fully working Vector Database and RAG pipeline built from first principles — no Pinecone, no Chroma, no shortcuts. HNSW, KD-Tree, and Brute Force search implemented in pure Python with a FastAPI ...