Description
The AI-based research assistant guides students to effectively assess the relevance of each book, helping to review, analyze, and explore new ideas with ease.
The Research Assistant provides:
- Key takeaways – Chapter-level insights help users assess content relevance efficiently.
- Concepts – Important ideas with explanations drawn from the chapter itself.
- Curated features – Complements AI-driven insights with publisher-provided metadata like book descriptions and subject headings.
Owning organisation: LAB
Owning organisation: LUT
To notice
AI features are embedded within full-text documents, supporting their review, analysis and interrogation.
The Research Assistant uses a Retrieval-Augmented Generation (RAG) model and generates responses based only on the chapter level, not the entire book.
Users will not be able to cite the Research Assistant’s output.
The Research Assistant will generate the same response for each chapter, regardless of who the user is or when they submit the prompt.
Information and guides
Terms of use
Ebook Central Academic Complete Terms of use