AI Powered Literature Review Tools

Search over 214 million papers from all fields of science, with filters such as journals and conferences, authors, publication types, and date range.

Start with the Highly Influential Citations where the cited publication has a significant impact on the citing publication, determined by a machine-learning model that analyzes factors including the number of citations to a publication and the surrounding context for each.

Identifying the right papers for you can be time-consuming. To save some time, look for TLDRs (Too Long; Didn't Read) on search results pages.
TLDRs are super-short summaries of the main objective and results of a paper, generated using expert background knowledge and NLP techniques, available for nearly 60 million papers in computer science, biology, and medicine.

Ask a research question and get back a list of relevant papers from our database of 200 million
Find themes and concepts across all the papers For example, what are all of the effects of this drug? What are all of the datasets that have been used? Get a list of the things you’re looking for, synthesized from many papers

Consensus is a search engine that uses AI to find research insights.

Consensus uses a network of AI algorithms to cross-reference and confirm details from numerous sources. It provides reliable and fact-checking information. 

Consensus is not a chatbot, but we use the same technology throughout the product to help make the research process more efficient.

The current source material used in Consensus comes from the Semantic Scholar database, which includes over 200M papers across all domains of science.

ResearchRabbit is a completely novel way to search for papers and authors, monitor new literature, visualize research landscapes, and collaborate with colleagues.

Just like in Spotify, you can add papers to collections. ResearchRabbit learns what you love and improves its recommendations!

Keep up with the latest papers related to your collections! If we’re not confident something’s relevant, we don’t email you—no spam!

Visualize networks of papers and co-authorships. Use graphs as new “jumping off points” to dive even deeper!

Collaborate on collections, or help kickstart someone’s search process! And leave comments as well!

The Paper Discovery tool builds a network of papers from citations, uses network analysis algorithms to analyze the network, and gives you the information you need to quickly get up to speed on that topic. You can find the most similar papers, important papers as well as prolific authors and institutions.

Our second tool was the Literature Connector. Intended for interdisciplinary scholars trying to bridge two domains, it allows you to enter two papers and it will give you an interactive visualization showing you how they are connected by the literature. From there you can send the papers you find into our Paper Discovery tool to find other relevant literature that happened to not be the "shortest path" between the two papers.

NotebookLM is an experimental product designed to use the power and promise of language models paired with your existing content to gain critical insights, faster. Think of it as a virtual research assistant that can summarize facts, explain complex ideas, and brainstorm new connections — all based on the sources you select.

A key difference between NotebookLM and traditional AI chatbots is that NotebookLM lets you “ground” the language model in your notes and sources. Source-grounding effectively creates a personalized AI that’s versed in the information relevant to you. Starting today, you can ground NotebookLM in specific Google Docs that you choose.

• Get a summary of your document.
• Ask questions about your documents.
• Generate ideas based on your documents.

You have too many files to read as is. Stop wasting time. Instead, have the Docalysis AI read your files and answer your questions. Save time by having an AI answer questions about your files within seconds.

Docalysis is an AI-powered platform that answers any question you have about your documents. Simply upload a PDF, TXT, CSV, or DOCX file and let Docalysis analyze it for you. Then have a conversation with Docalysis to get answers to your questions. 

Search over 200M+ peer-reviewed articles in our database.

Explore how a selected paper connects to related literature.

Bring a PDF URL to read and summarize it's full text.

Read + summarize full text articles.

Identify information gaps in existing literature.

Ask questions about papers and receive thoughtful, fact-based answers.