Abstract: A research synthesis platform provides functionality for displaying data related to one or more pieces of content. The research synthesis platform extracts semantically coherent insights from one or more pieces of content using a language processing system, and converts them to vector embeddings. Given a user query, the research synthesis platform searches the insight vector embeddings and other information sources to identify relevant insights, information and source content. The research synthesis platform then retrieves a set of headers, and answers to such headers, from the identified insights, information or source content, to respond to the user query. The research synthesis platform then populates a visual display with the header and answer dataset.

Abstract: Disclosed herein are system, method, and computer program product aspects for an insight-based research synthesis platform. An aspect operates by partitioning a piece of content into a plurality of content segments. An aspect also operates by contextualizing and/or enriching a content segment to form an insight. An aspect further operates by generating a vector embedding for the insight. An aspect further operates by determining that the vector embedding is relevant to a task associated with the piece of content. An aspect further operates by querying a language processor to perform the task using the insight. As such, the insight-based research synthesis platform may provide more efficient and higher quality results compared to conventional systems.