How to use the model parameter?

The model parameter enables you to change the way your query is matched with learning objects in our index.

By default model is set to semantic. In this case, the query is matched with learning objects based on the meaning of your query (vector comparison). This is best recommended when queries are sentences in natural language.

Alternatively, model can be set to keywords. This model is required when you want to search physical learning objects (e.g. trainings) around a specific location. With this model, the query is matched with learning objects based on the presence of theses keywords in the title or description of the corresponding learning objects.