This is an academic search engine, powered by AI, but grounded in scientific research. We use language models (LLMs) and purpose-built search technology (Vector search) to surface the most relevant papers. We synthesize both topic-level and paper-level insights. Everything is connected to real research papers.
The current source material comes from the Semantic Scholar database, which includes over 200M papers across all domains of science. We continue to add more data over time and our dataset is updated monthly.
Consensus provides powerful tools to elevate your research: the Consensus Meter lets you quickly see scientific consensus and gain contextual insights, while Pro Analysis allows you to customize searches to draft content, format text, create lists, and explore topic-based syntheses.
What academic features are in Consensus?
Consensus offers several academic features, including advanced search filters by study design, sample size, and methodology. It also provides paper-level insights, study snapshots, quality indicators, auto-citations, and CSV export options to help researchers find, analyze, and organize relevant studies efficiently.
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