Exploring a learning-to-rank approach to enhance the Retrieval Augmented Generation (RAG)-based electronic medical records search engines
Background: This study addresses the challenge of enhancing Retrieval Augmented Generation (RAG) search engines for electronic medical records (EMR) by learning users' distinct search semantics. The specific aim is to develop a learning-to-rank system that improves the accuracy and relevance of...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-09-01
|
| Series: | Informatics and Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949953424000146 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|