Elsevier, a major company in scientific information and decision support, has introduced Reaxys AI Search, a new tool in the Reaxys platform. This tool aims to change how chemistry research is done by using advanced natural language processing. With this feature, users can search through complex chemical data by simply typing in everyday language instead of using complicated keywords. Reaxys AI Search helps find relevant documents better by understanding what the user is looking for, even if there are spelling mistakes, abbreviations, or synonyms. This helps researchers save time on searching and use that time for creating new ideas. This is especially useful in fields like materials science, chemical engineering, and polymer science, where getting the right information quickly is very important.
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The AI search is built on Reaxys’ large database with over 121 million records, including patents and scientific articles. The AI search engine gives accurate and helpful results. The development of Reaxys AI Search involved testing with hundreds of chemists to make sure it works well for researchers. This follows Elsevier’s earlier success with Reaxys Predictive Retrosynthesis and shows the company’s plans to use more artificial intelligence in their tools. Future updates will improve the search features and add better summarization tools.
Mirit Eldor, Managing Director of Life Sciences at Elsevier, said, “Reaxys AI Search is a big step in making chemistry data easier to access and use. By allowing natural language queries, we want to make it easier for researchers from different fields and with different experience levels to find the information they need quickly and confidently. Launching this early version gives researchers immediate value while allowing us to gather feedback and keep improving the solution as part of our commitment to innovation that supports human progress.”
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The new AI search is now available to all Reaxys users within the current platform. It works along with traditional keyword searches and offers an easy way to try it out right away. Elsevier says that user privacy and data security are their top priorities. All user interactions are kept private, and no data is shared for training other AI models. This release is part of Elsevier’s ongoing work with the scientific community to improve and expand AI tools in chemistry research, making sure they keep up with the needs of modern science.
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