Our Deep Retrieval Agent is designed to enhance your research experience by leveraging enriched contextual data from OpenAlex. This powerful feature provides users with accurate, in-depth insights by accessing a rich database of citations, references, and related works.
With the addition of the "Explore this with AI" option, a quick and targeted experience for exploring the article's topic in SCiNiTO AI has been provided. ،This pathway has been enhanced with a new and valuable feature: Deep Insight Summary. By clicking on the "Explore this with AI" option that appears next to the information for each article and entering the chatbot page, a section called Deep Insight Summary will automatically be available.
What does this section do?
Instead of simply providing a general summary of the article, the Deep Insight Summary first examines the references of the selected article and, based on their content, offers a deeper and more relevant analysis of the article's topic.
What is the key advantage of this feature? Better understanding based on the primary sources of the article.
Rather than relying on the limited text of the abstract or just the title of the article, this feature examines the topic through the lens of the articles cited by the authors. This means the analysis provided is more accurate, credible, and aligned with the scientific trajectory of the article.
Time-saving and optimization of the study path
Researchers can gain a comprehensive understanding of the article's topic and its scientific position in much less time than the traditional method, allowing them to prioritize their studies.
Practical Examples:
For instance, if an article on artificial intelligence in "prostate cancer detection" is selected, the Deep Insight Summary will analyze the article's sources and indicate that a significant portion of the citations is dedicated to MRI imaging studies with deep learning. As a result, the researcher gets acquainted with the main focus and approach of the article before reading it in full.
In another example, if an article in the field of "climate change and food security" is chosen, this feature will show, upon examining the article’s sources, that the primary focus of the research has been on drought modeling studies, climate data analysis, and agricultural policy in developing regions. Such an analysis helps the researcher gain a clear understanding of the theoretical framework and practical context of the research without needing to review several complementary articles.
Search History
The search history is displayed directly and accessibly on the search page . This feature allows users to return to previous searches quickly, review their thought paths, and have a smoother, more focused experience.