Elsevier introduces Reaxys AI Search

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Elsevier has introduced Reaxys AI Search, an addition to the Reaxys platform that uses AI-driven natural language processing to transform chemistry research. Reaxys is the first chemistry database to introduce natural language document search to enhance the discoverability of relevant documents as researchers navigate vast amounts of complex chemical research information.

The company says Reaxys AI Search is especially impactful in interdisciplinary R&D fields such as materials science, chemical engineering, and polymer science, as it eliminates the need to construct complex keyword searches. Instead it interprets user intent, handles spelling variations, abbreviations and synonyms, and returns the most relevant documents for each query. This is aimed at ensuring that chemists, chemical and material engineers, polymer scientists, pharmaceutical and biotech professionals, academic researchers and other users spend less time searching for relevant insights and more time focusing on discovery and innovation.

Reaxys AI Search taps into over 121 million documents, including patents and peer-reviewed journal articles, to deliver high levels of precision and recall in the answers it provides. Future releases will see further refinements of the AI search options, along with advanced summarisation capabilities.

Mirit Eldor, Managing Director, Life Sciences, Elsevier, said: “Reaxys AI Search marks a major step in making chemistry data more accessible and actionable. By enabling natural language queries, we aim to lower barriers for researchers across disciplines and experience levels to find the information they need faster and with greater confidence. Launching this early version allows us to deliver immediate value to researchers while gathering feedback to continually refine the solution as part of our commitment to innovation that helps advance human progress.”

The early release version of Reaxys AI Search is available now to all Reaxys users. Users can access this feature within the existing platform alongside the existing structure and keyword search options, providing immediate hands-on experience. Elsevier remains committed to working closely with the scientific community to refine and expand this technology, ensuring it meets the evolving needs of chemistry research.

Reaxys AI Search was developed in accordance with Elsevier’s Responsible AI Principles and Privacy Principles, prioritising data privacy, security, and transparency.

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