Abstract: Certain embodiments involve augmenting project data with searchable metadata for facilitating project queries. A method includes receiving metadata of the set of projects and identifying a filter within the metadata. The method also includes generating a first vector representing a first project of the set of projects and generating a second vector representing a second project of the set of projects. Further, the method includes grouping the first vector and the second vector into a project cluster based on the first vector and the second vector being within a threshold distance. The project cluster represents a set of filters associated with a subset of projects. Additionally, the method includes assigning a searchable tag to the project cluster based on the filter being a majority filter of the project cluster. The searchable tag includes metadata that facilitates locating the projects responsive to a query to the set of projects.

Abstract: Certain embodiments involve augmenting project data with searchable metadata for facilitating project queries. A method includes receiving metadata of the set of projects and identifying a filter within the metadata. The method also includes generating a first vector representing a first project of the set of projects and generating a second vector representing a second project of the set of projects. Further, the method includes grouping the first vector and the second vector into a project cluster based on the first vector and the second vector being within a threshold distance. The project cluster represents a set of filters associated with a subset of projects. Additionally, the method includes assigning a searchable tag to the project cluster based on the filter being a majority filter of the project cluster. The searchable tag includes metadata that facilitates locating the projects responsive to a query to the set of projects.