Academic Research Assistant (alpha)

This is an alpha-stage prototype of our academic research assistant, designed to navigate and reason through a corpus of materials around a specific research topic.

Usage

• Questions should relate directly to the source materials listed. To maintain academic integrity, the generated responses should be supported with verified references from our database. In other words, the app will deliberately have a hard time “hallucinating” new information.

• To filter the sources used, right-click relevevant papers listed in the topic library, or those cited in the previously generated results. Select 2 or more sources.

• Sustainability is a priority for this project and our user base. The LLM model is self-hosted and doesn’t rely on GPU-based processing. Response time may be slower than with commercial AI chatbots; we are actively working to improve this. For now, consider your questions carefully before submitting.

• Sessions may be saved to your local file system as a JSON, which can then be loaded again for future reference.

• Please note that questions and responses may be logged for research and quality improvement purposes.

• This project is ongoing construction; errors and inconsistencies are to be expected. Please consider using the built-in feedback to help our design and development.

Sources

This public version of this chatbot uses preprint versions of academic materials for research and information synthesis. These may differ from the final published versions. Where possible, references or links to the official published articles are provided. Users are encouraged to consult those versions for authoritative content. The generated responses are for informational purposes only and do not replace the original publications.

Contact

Have any questions? feel free to write to our team:

Project Managment

mattia.bellini [at] ut [dot] ee

Research & Development

primett [at] ut [dot] ee

Co-financed by the EU.