Microsoft Technology Licensing, LLC

Frederick Qin

Wenjin Xu

Qiwen Guo

Jamie Olson

Li Li

Rui Min

Aspects of the disclosure include methods and systems for an intelligent chat powered by a large language model that leverages both public and private data to answer user questions. An exemplary method includes receiving a user query including natural language input from a user and executing the user query against at least one public data source and at least one private data source. Queries executed against a public source are retrieved using public search indices and queries executed against a private data source are retrieved using user credentials. A query rewrite and a query context including the user query and retrieved information from the public and private data sources are input to a large language model. A response is received from the large language model that includes a natural language answer to the user query and a link to the retrieved information.

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Duvall, WA, United States of America

Frederick Qin