Research Rabbit is an AI-powered research platform that helps users discover, organize, and analyze academic papers and research documents using intelligent graph-based navigation.
Pricing, free plans, Korean quality, terms, and service status are tracked with separate dates and sources.
Pricing checked
Needs verificationDate or source missing
Free plan checked
Needs verificationDate or source missing
Korean quality checked
Needs verificationDate or source missing
Commercial terms checked
Needs verificationDate or source missing
Service status checked
Needs verificationDate or source missing
Beginner friendly
Supported
Korean support
Not verified
Korean input and output support has not been verified yet.
Mobile support
Not supported
Primarily a desktop or web-browser tool; mobile usability is limited.
Commercial use
Supported
Research Rabbit is suitable for commercial research teams, consulting firms, and industry labs that need systematic paper tracking and knowledge management.
Documented by capability
Evidence-backed pricing
general
Country parity discounts may apply.
Pricing source · 2026-08-10Use these primary sources to confirm current pricing, terms, and product details.
Free plan
The free plan offers meaningful access to the core discovery and organization features, suitable for individual researchers. Check the official site for current quotas on collections and saved papers.
Paid plans
Paid plans unlock advanced collaboration, larger storage, and priority features for research teams. Visit the website to compare plan tiers and find current pricing details.
Search-intent editorial guide
ResearchRabbit is a paper-discovery workspace built around collections, citation relationships, similar-paper exploration, and visual maps. It is strongest after you already have one or more useful seed papers; it is not a substitute for checking databases, reading the papers, or documenting a reproducible search strategy.
Choose ResearchRabbit when you want an ongoing literature map, saved collections, collaboration, and broader discovery from several seed papers. Choose Connected Papers for a fast visual snapshot around one paper, or Semantic Scholar when conventional keyword search and broad coverage come first.
Editorial review date: August 10, 2026
Research Rabbit streamlines the academic research process by using AI to help users find relevant papers, build literature maps, and explore connections between studies. The platform offers visual organization tools and smart recommendations to accelerate literature review workflows. It integrates with existing research tools and provides both individual researchers and teams with collaborative features for managing research projects.
AI-powered paper recommendation and discovery based on your reading history and interests
Visual literature maps and graph-based organization to show connections between papers and topics
Collaboration features for teams to share collections, discuss papers, and manage research projects
Quickly exploring a new research domain by discovering seminal papers and how they relate to each other
Conducting systematic literature reviews by organizing papers visually and tracking gaps in the research landscape
Team-based research projects where multiple researchers need to coordinate on reading lists and share insights
Yes. The official Free Forever tier includes core search, collections, citation browsing, maps, collaboration, and imports. RR+ adds higher seed limits and advanced discovery controls; recheck the pricing page because country-based discounts can apply.
ResearchRabbit is usually better for an evolving project with collections and repeated discovery. Connected Papers is simpler for generating a focused similarity graph from a single origin paper. Many researchers can use both at different stages.
A native Korean interface is not currently documented in the checked official source. Korean titles or metadata may be discoverable, but coverage depends on the underlying scholarly records; browser translation may help with the interface.
No. Use it as a supplementary discovery and mapping tool. A systematic review still needs documented database queries, inclusion criteria, deduplication, screening, and primary-source verification.
Ask questions and share hands-on experience, tips, and prompts.
Compare nearby options before you commit.
Korea's leading AI summarizer (made in Seoul) that condenses YouTube videos, PDFs, web pages, and audio into structured, cited notes.
A Korean AI search and research agent that returns source-cited answers, popular for trustworthy academic and professional research.
Connected Papers is a visual tool that maps the relationships between academic papers, helping researchers discover relevant literature and understand how ideas connect.
Affiliate disclosure: we may earn a commission if you visit or purchase through links on this site. Tool details are summarized for decision support and should be verified on the official website before purchase.