Corpus refers to the collection of documents, coming from one or several data sources that needs to be indexed.

Data Model defines how items are stored in the CloudView index. It provides a way to gather the related metas found in your data sources into specific classes.

Documents can be defined as all the objects to be indexed by CloudView, regardless of file or entity type in the data source. For example, HTML, JPG or CSV files, database records are all considered documents within CloudView, since they are all converted into a specific document format (also known as a PAPI document) after being scanned by a connector.

Items are the objects to be indexed by CloudView, regardless of file or entity type in the data source. For example, in OnePart, 3D CAD files, JPGs, PDFs are all considered items in the index.

Facets are used to narrow search results. Use them to drill-down into an area, such as language, author, or file type. They are typically used in dashboard analytics widgets, or in the Refinements panel for enterprise search.

Index is an efficient structure used by CloudView to store information about the items it has analyzed. When users issue search queries, CloudView quickly and easily finds the results within this structure.

Queries are the search requests sent to the CloudView search engine and processed according to a specified search logic.