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Enago Read, previously known as Rax, is an AI-driven literature review tool created for researchers. It functions as a comprehensive reading assistant, making complex research literature tasks easier and improving workflow efficiency.
A key feature of Enago Read is its effective resource organization and management. It aids in discovering relevant resources, enabling users to select and save important sections for later use. Enago Read also boosts knowledge acquisition through contextual suggestions, providing users with the newest research news, online courses, and articles related to their research interests. Beyond resource management, it speeds up literature reviews by producing summaries for quickly scanning key sections of research papers.
This accelerates relevancy decisions, allowing researchers to concentrate on the most relevant papers. To further improve research project organization, Enago Read supports managing reading lists within projects, sorting items into collections, and tagging or filtering using keywords and color codes. The tool also provides a collaborative environment for users to share and discuss literature, and to efficiently collaborate on shared projects.
Finally, the Quiz feature enables users to highlight text, receive detailed explanations for selected words or phrases, and find similar concepts across projects, all of which help in understanding complex material.
Resource management capabilities
Improves workflow efficiency
Supplies contextual recommendations
No offline availability
No mobile application
Lacks language options
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