Research Rabbit || Powerful & Best Free AI Tool for Researchers || 2024 || Hindi || Dr. Akash Bhoi

Research Rabbit is presented as a free, “forever” tool aimed at researchers who need to organize papers, map citation relationships, and build shareable collections without paying for research software. The core workflow centers on creating a library of papers by topic, then using built-in similarity and network views to discover related work—authors, connected publications, and citation-style relationships—so researchers can expand their reading list faster than manual searching.

After signing up with a Gmail account and logging in, users land on an interface where collections act like folders for research themes. The tutorial demonstrates creating a new category (for example, a biomedical-related collection), then adding papers into that collection by searching for titles and authors. Once papers are added, the platform supports opening available PDF versions directly, following links to where the work was published, and viewing extracted metadata such as citation details and available file formats.

A key feature highlighted is the “similar” function. By selecting a base paper from a collection, users can open a similarity view that surfaces related papers already connected to the chosen work. The similarity view also includes a network visualization: publications and authors appear as interconnected nodes, and users can zoom, rearrange, and interpret the structure. The tutorial emphasizes that this network helps identify which papers are relevant, how authors connect across the literature, and how the relationship evolves over time (including timeline-style arrangement and citation-like connections).

The platform also supports exporting and reusing research sets. Users can select papers within a collection and export them—particularly when PDF files are available—so they can save the exported materials into a folder for later use. For citation needs, the interface provides options to obtain citation formats (including BibTeX and CSEB mentioned in the walkthrough), enabling researchers to incorporate references into their writing workflow.

Collaboration and sharing are treated as first-class capabilities. Collections can be shared with others by inviting email addresses and choosing permissions such as edit access for adding papers or read-only access. The tutorial shows how a shared collection becomes available inside another person’s account after they create their own account, allowing students, co-authors, or research groups to work from the same curated library.

Overall, the walkthrough frames Research Rabbit as a practical research companion: build topic-based libraries, open PDFs and links, use similarity networks to find related literature, export and cite efficiently, and share curated collections for teamwork—turning scattered paper discovery into a structured, interconnected workflow.