The EBSCO Natural Language Search (NLS) allows you to ask research questions in your own words, and get results using matching synonyms or concepts. This tool is still in development.
The NLS uses AI to better parse your query into keyword and phrases structured in a way that the EBSCO search engine can understand. The parsed query is then sent to the EBSCO search engine that performs the same relevancy ranking, filtering, and other specialty search functionality as traditional search.
In any EBSCO database, go to Basic Search and then switch the button for Natural Language Search.

Read the Natural Language Search beta study.
Email us at refer@uark.edu with your feedback.
EBSCO AI Insights provide concise summaries for research articles, with 3-5 key points given for each work.
AI Insights summaries are generated by prompting a Large Language Model to summarize insights from the specific article the user selected AI Insights for. The AI Insight prompt uses a method called Retrieval Augmented Generation (RAG) to reduce hallucinations. EBSCO also reviews a representative sample of AI Insights with Subject Matter Expert (SME) Human-in-the-Loop (HITL) for biases, tone, accuracy, and timeliness of Insights as a quality and responsible AI metric. See: Artificial Intelligence AI Transparency Fact Sheet – AI Insights for more information.
In any EBSCO database in the search results list. Not all articles will have an AI Insights tab; the tab will generally appear for full text articles from scholarly journals, unless the articles are too short to be evaluated.

AI Insights are not saved when you export records or full text.
AI Insights are regenerated with each search and are not reproduceable. Please check with your instructor about permitted used of AI-generated text and refer to our AI citation guide if use is allowed.
Read the EBSCO information page for AI Insights.
Use the Yes / No buttons at the bottom of each summary

Or
Email us at refer@uark.edu with your feedback.