Elsevier Introduces SciBite Chat, a transformative AI-Powered Semantic Search Tool for Life Sciences R&D

Elsevier, a global leader in information and analytics, today announced the launch of SciBite Chat, a new AI-powered tool built atop SciBite Search, SciBite’s award-winning platform. SciBite Chat uniquely combines the strength of semantic search for accurate and traceable information retrieval and Large Language Models (LLMs) to interpret natural language questions and generate answers. By combining these powerful technologies, SciBite Chat has the potential to transform the search experience, providing explainable results while understanding and summarizing human language effortlessly.

Neal Dunkinson, Vice President, Solutions & Professional Services at SciBite from Elsevier, said: “SciBite Chat’s use of ontology-backed semantics with Retrieval Augmented Generation (RAG) architecture offers multiple benefits to researchers in life science-related industries. The approach improves search results by using the domain expert knowledge captured in ontologies to provide the most relevant documents, grounding the power of generative AI in quality content.”

Unlike conventional search tools, SciBite Chat’s natural language query and iterative chat features allow users to have a conversation with their data. Trust and traceability are at the core of the user experience, with the search results showing the verbatim evidence, as well as the underlying SciBite Search query language used to identify the relevant source documents. These features ensure that search results are both explainable and reproducible, which are essential factors for life sciences research.

In this highly regulated research environment, where innovation depends on evidence-based insights, SciBite Chat bridges the gap between commoditized LLMs and domain expertise. SciBite Chat is built on three pillars of data-driven insights: accuracy, transparency, and flexibility. Accuracy is enhanced by SciBite's deep expertise in life sciences, while transparency is guaranteed through human explainability incorporated into every step of the user journey. Flexibility in incorporating internal terminologies, data ingestion, and deployment options ensures that organizations can easily integrate SciBite Chat into their work/workflow. SciBite Chat is poised to become an essential tool for both researchers and organizations, transforming the way they interact with and utilize data.

About SciBite

SciBite from Elsevier offers data-first, semantic analytics software for those who want to innovate and get more from their data. Leading the way by pioneering the combination of the latest in machine learning with an augmented ontology-led approach, SciBite’s semantic infrastructure answers business-critical questions in real-time by releasing the value and full potential of unstructured data.

Supporting the world’s leading scientific organizations with use cases from discovery through development, SciBite’s suite of fast, flexible, API-first technologies empowers customers, making it a critical component in scientific, data-led strategies. Find out more at scibite.comopens in new tab/window.

Sobre a Elsevier

A Elsevier é líder global em informação avançada e suporte à tomada de decisão. Por mais de um século, ajudou a avançar a ciência e a saúde para promover o progresso humano. Apoia comunidades de pesquisa acadêmicas e corporativas, médicos, enfermeiros, futuros profissionais de saúde e educadores em 170 países, fornecendo conhecimentos críticos e soluções inovadoras que combinam conteúdo científico e médico confiável com tecnologias de IA de ponta. A Elsevier promove inclusão e sustentabilidade, incorporando esses valores em seus produtos e cultura. A Elsevier Foundationopens in new tab/window apoia pesquisas e parcerias de saúde ao redor do mundo.

A Elsevier faz parte da RELXopens in new tab/window, fornecedora global de ferramentas de análise e decisão baseadas em informação para clientes profissionais e empresariais. Para mais informações, visite www.elsevier.com e siga-nos nas redes sociais: @ElsevierConnect e @ElsevierPesquisa.