Name of this Data Model.

Default class to push documents when there is no "datamodel_class" papi directive, or no "TYPE" meta. Usually, all data model classes generate type-prefixed field names, like 'myclass_myproperty', except the defaultClass which has unprefixed fields in the expansion. The analysis pipeline deduces the data model class of a document by applying the following rules with this specific order:

The list of languages that can appear in the corpus. Language detection will be restricted to this set. A null value means that all languages are possible.

Saves all metas that were not mapped to an index field or category as "csv encoded metas". These metas are retrievable only. To make a meta searchable, create a data model property for it.

Select this option before indexing, then click "Add Properties from Traced Metas" to simplify creating new properties. The traced metas are stored in a separate database. Once you have created properties based on traced metas, de-select this option to prevent the database from growing unnecessarily over time. Trace all metas pushed by connectors in order to ease property configuration.

List of classes of this data model.

The list of semantic types of this data model. A semantic type defines the semantic analysis to perform, and can be assigned to 'alphanumeric' properties. The semantic types available out of the box are: text, identifier, meta, and url.