Dropbox, Inc.

Maor Bar Asher

Devin Mancuso

Shweta Kode

Ryan YeePin Yheng

Brett Bergeron

Alan C Chu

Jiarui Ding

Ermo Wei

Morgan Zerby

Alan Chu

Prasang Upadhyaya

Aleksander Dash

Simon Shubbar

Wesley Liao

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating a dynamic facet by using a large language model. For example, the disclosed systems extract raw facet data from a plurality of content items stored in a content management system. In addition, the disclosed systems determine one or more facet content groups by grouping the plurality of content items according to the raw facet data. Further, the disclosed systems generate a facet prompt from the one or more facet content groups. Moreover, the disclosed systems generate a dynamic facet by providing the facet prompt to a large language model.

Dynamic facet generation using large language models

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and searching a hybrid search index. In some embodiments, the disclosed systems generate a hybrid search index that comprises one or more content items stored at a content management system or at external network locations linked to the content management system via software connectors along with world state data associated with the one or more content items. The disclosed systems can generate a search result from the hybrid search index in response to receiving a search query of the hybrid search index. In some cases, the disclosed systems can rank one or more content items included in the search result based on observation layer data of the one or more content items.

Generating a hybrid search index for unified search

Performing unified search using a hybrid search index

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New York, NY, United States of America

Maor Bar Asher