Speed up your research workflow with RAG-n-Bones. We help you generate AI systematic reviews from dozens of medical papers in seconds.
We’re proud to be supported by these organizations
Have a look at the amazing features of our application designed for medical researchers and doctors.
Medical research papers are split into smaller chunks, embedded into vector representations, and stored in a vector database to enable efficient semantic search.
Given a research question or prompt, the system retrieves relevant context from the papers and uses an LLM to generate a structured systematic review with sections like background, methods, and conclusions.
Measurements like cosine similarity, TF-IDF, and BLEU score tests the relacency and consistency. We also have a word cloud to show the thematic areas and a bar chart showing the top 10 author names contributed in input medical papers. Visualized graphs are provided to help users understand the quality of the generated systematic review.
Meet the members of RAG-n-Bones
Programmer / Designer
Wing Ho is a Year 2 Computer Science Student.
Programmer / Researcher
Jennifer is a Year 2 Computer Science Student.
Programmer / Tester
Yiwei is a Year 2 BSc Computer Science Student.
Kevin is a Year 2 MEng Computer Science Student.
A memorable group photo with our sponsor Josepher
Learn how our project has been organized and progressing.