Consensus

Consensus is an AI-powered search engine designed specifically for scientific and academic research. This tool provides access to a database of over 200 million peer-reviewed research papers, making it easier to locate, understand, and synthesize technical literature quickly and reliably. Unlike conventional search engines, Consensus uses advanced language models to extract direct answers based exclusively on published evidence, making it an efficient alternative to traditional systems for the academic and professional sectors.

The platform's operation is based on a multi-stage information retrieval process. First, it employs a hybrid search that combines semantic search—powered by AI embeddings to capture user intent—with traditional keyword search (BM25). After an initial screening, the system re-ranks the results by evaluating research quality through signals such as journal reputation, publication recency, and citation count. Finally, high-precision AI models analyze the most relevant documents to generate a scientific literature synthesis with transparent attribution, ensuring every piece of data includes its original source.

Key capabilities and practical benefits include:

• Deep Search: Automates complex literature reviews, identifying conflicting arguments and exploring citation graphs in just a few minutes.
• Consensus Meter: A visual feature that indicates the level of expert consensus regarding closed research questions.
• Medical Mode: Filters searches to focus exclusively on high-quality sources, such as clinical guidelines and high-impact medical journals.
• Natural Language Filters: Users can define specific criteria, such as sample size or study design type, directly within their query.

This tool is especially useful for college students, researchers, and clinicians who need to streamline their workflows without compromising rigor. By integrating with global databases like Semantic Scholar and OpenAlex, Consensus minimizes the risk of hallucinations; it does not function as a conventional generative chatbot, but rather as a search engine that grounds every answer in real, verifiable scientific papers. It can be used conveniently from a computer to manage extensive literature reviews or resolve clinical questions professionally and securely.