by Anne Hatinen
Quick Summary
EBSCO now offers a Natural Language Search mode that uses LLMs to better parse and retain user intent in search.
from EBSCO:
EBSCOā€™s Natural Language Search (NLS) mode is a new feature that uses Large Language Models (LLMs) to better parse and retain user intent in search. Administrators can enable NLS alongside existing search modes. It is available across EBSCOā€™s updated user interfaces, including EBSCOhost, EBSCO Discovery Service, Explora, and Reference Centers.
Benefits for the user:
- NLS allows users to search using everyday language rather than requiring specific keywords or complex queries.
- Using natural language processing, NLS streamlines the search process, helping users articulate their queries intuitively and obtain even more precise, relevant results that retain the user's intent.
- The NLS mode is designed to work well with various query types, such as comparative questions, time-based searches, domain or content type specificity, and deeply contextual inquiries.
- Users can easily switch between NLS mode and traditional search modes, providing flexibility to select the most suitable search method based on their current needs.
Administrators can enable and configure AI Natural Language Search mode through the EBSCO Experience Manager (EEM).
For more information about how to make NLS mode an available option for researchers, visit EBSCO Connect. To learn more about EBSCOā€™s use of AI in delivering and evaluating Natural Language Search mode, visit our transparency documentation.
