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.

엘스비어 소개

엘스비어는 첨단 정보와 의사결정 지원 분야의 글로벌 선도 기업으로 100년 넘게 과학과 헬스케어의 발전을 지원하며 인류 진보에 기여해 왔습니다. 우리는 170개국 이상에서 학술 및 기업 연구 커뮤니티, 의사, 간호사, 미래의 의료 전문가와 교육자들을 지원합니다. 근거에 기반한 신뢰할 수 있는 과학·의학 콘텐츠와 최첨단 AI 기술을 결합해 중요한 통찰과 혁신적인 솔루션을 제공해, 의미있는 성과를 이루도록 돕고 있습니다. 또한 다양성과 지속 가능성을 제품과 기업 문화 전반에 내재화하며, 우리가 속한 커뮤니티와 협력합니다. 엘스비어 재단opens in new tab/window은 전 세계에서 연구와 보건 파트너십을 지원합니다.

엘스비어는 전문가 및 기업 고객에게 정보 기반의 분석과 의사결정 도구를 제공하는 글로벌 기업 RELXopens in new tab/window의 일원입니다. 자세한 내용은 www.elsevier.com에서 확인할 수 있으며, 소셜미디어 @elsevierconnect를 통해 최신 소식을 받아보실 수 있습니다.