The next-gen federated search architecture for biomedical knowledge repositories — The LIT-FED-SEARCH engine.

The primary objective of LIT-FED-SEARCH software is to develop a user-friendly solution tailored to researchers and scientists. This solution aims to enhance their impact by facilitating the analysis of data from modern, extensive datasets like PubMed and Clinical Trials, alongside real-world evidence. The central concept we offer is a Federated Search Workflow Engine, which has been designed and maintained to accommodate various infrastructure configurations for the convenience of users. In line with this approach, potential users have the flexibility to configure their own computing environment and a set of interesting data repositories, based on their specific requirements and capabilities. This customization can significantly reduce the time and resources invested in research. LIT-FED-SEARCH is constructed with the support of OpenSearch full-text search engine as its heart. This paper offers an overview of the system's architecture, capabilities, and potential applications in the field of biomedical research. • The LIT-FED-SEARCH is system to support researchers in analysing multiple biomedical data sources in parallel. • The LIT-FED-SEARCH can be deployed on various systems and infrastructures that support containerized solutions. • Thanks to the containerized architecture, this Federated Search System can be scaled according to user's needs, capabilities, and the size of biomedical data sets. [ABSTRACT FROM AUTHOR]