Embase AI vs Perplexity

Embase AI is Elsevier’s natural-language search tool for biomedical literature. It searches Embase, which the product page says contains 47 million records, and summarizes findings from the 30 most relevant peer-reviewed articles. Users can filter by publication year, publication type and study type, or extend searches to preprints, conference abstracts, ClinicalTrials.gov studies, and articles in press or in process. Summaries link to relevant articles, with references ranked through term-based retrieval and then neural semantic ranking. Users can inspect the AI-generated Embase query, refine it by opening results in Embase, or copy the query text. Follow-up questions and session export support continued searching and record keeping. Elsevier says information is not stored in the LLM or used for training. It presents the product for biomedical research, including users in pharma, medtech, universities and libraries. Embase AI is paid, has a three-day trial, and lists no price; prospective customers can request a demo. It is available on Android, iOS, macOS, web and Windows.

Perplexity is an answer engine that searches the open web and returns answers with inline citations. It can search files and connected apps alongside the web, and can select among more than 20 leading models, including ChatGPT, Gemini, Claude, and Nemotron. Deep Research conducts searches across many sources and produces a report. Access is available on Android, iOS, macOS, web, and Windows, with an API also listed. The free plan has limited weekly use for simple questions. Pro costs $20 a month and adds Computer, premium data sources, web search, files, apps, model council, and model selection. Max costs $200 a month and offers higher limits for Deep Research, resource generation, file uploads, and monthly video creation. Enterprise Pro is $40 a month per seat; Enterprise Max is $325 a month per seat. Enterprise plans bill by seat, and API use requires separate credits. Perplexity lists more than 400 app connectors.