The Ebook Central Research Assistant simplifies book exploration by identifying key concepts and providing contextual explanations to enhance understanding. With chapter-level insights and key term definitions drawn directly from the text, it keeps users engaged in their research. Powered by Retrieval-Augmented Generation (RAG), it ensures accuracy by sourcing insights directly from the book’s content. Additionally, it helps users discover related titles within their library’s Ebook Central collection, seamlessly expanding their research scope. Features at launch include:
- Key Takeaways: Chapter-level insights help users assess content relevance efficiently
- Concept Highlights: Identification and explanation of key terms, with one-click searches, deepen research
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |