Natural language search and knowledge management using deep learning

Abstract

An application executing on a processor may receive a natural language request. A large language model (LLM) may determine, for each of a plurality of data sources, a respective data source configuration. The LLM may generate, for each data source, a respective query based on the natural language request and the data source configuration. The application may, based on the configuration, process the queries against the plurality of data sources. The LLM may receive, based on the processing, a plurality of results from the plurality of data sources and generate a natural language response to the natural language request. The natural language response may include an indication of a first result of the plurality of results. The application may output the natural language response for display.