Consensus
AI research search engineAn AI search engine over peer-reviewed research. It uses large language models and purpose-built vector search to answer natural-language questions with evidence drawn from academic papers, presenting insights at both the topic and the individual-paper level.
- Natural-language questions instead of exact keyword matching
- Corpus of over 200 million peer-reviewed research papers
- Evidence-agreement score attached to each claim (Consensus Meter)
- Plain-language summaries of study findings