Intent recognition or intent classification is the task of taking a written input, and classifying it based on what the user wants to achieve.

In named Entity Recognition (NER), data annotation consists in locating, extracting and tagging proper names entities in text. Entity annotation teaches NLP models how to identify named entities within a text.

In machine learning, an entity corresponds to any word or series of words that consistently refers to the same thing. Every detected entity is classified into a predetermined category.

A Domain-Specific language, or DSL, is a language optimized for a specific class of problems. A DSL uses the concepts and rules from the field or domain.

A database index is a data structure that improves the speed of data retrieval operations on a table. Indexes are used to quickly locate data without having to search every row every time a table is accessed.

CRUD stands for Create, Read, Update and Delete, which are the four basic operations of persistent storage.