VAIV bio-discovery service using transformer model and retrieval augmented generation
As a result, our system can better understand the context, semantics and relationships between terms within the document, enhancing search accuracy. This research contributes to the rapidly evolving biomedical field by introducing a new service to access and discover relevant knowledge.
Authors
- Juntae Yoon
- Seonho Kim (ORCID: https://orcid.org/0000-0001-8833-8927)
Institutions
- Sogang University (KR)
- Nongwoo Bio (South Korea) (KR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1186/s12859-024-05903-6
- Citations
- 5
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 5.25
Funders
- National Research Foundation
- National Research Foundation of Korea