Entities allow you to enrich and qualify your intents. They complete and nuance the intentions, because they correspond to more precise terms - get started now!

1. The core features

1. 1 Entities Manager

Use entities in 7 different languages
Explore Built-in Entities
There are two types of entries to define your entity
- an entities based on Value-list type
- an entities based on Regular Expression type
Import entity values CSV file

1.2 Intents Manager

Flag entities in training expressions
Auto-suggest entities in training expressions

2. Manage and create your AI Entities

2.1 Entities Manager

Select the domain where to create your entities

Create an entity based on a value-list : List several reference values to define entries. Then, add synonyms for your reference values below
Click on "Create entity" button

- Add a name to your entity
- Select Value-list type
- Two possibilities to add values and synonyms:
  - Add one by one values ↔ synonyms
  - Import a CSV containing a list of values ↔ synonyms

Save your entity

You can also:

Create an entity based on Regular Expressions

- Click on "Create entity" button
- Add a name to your entity
- Select Regular Expression type
- Insert the regular expression that will match an expression pattern

Save your entity

2.2 Intents Manager

Flag entities in training expressions

Select the domain where to use entities in training expressions
Create an new intent and add training expressions or just edit an existing intent

- Select words in training expression and clic on the overlay button “+ add entity”
- Select the right entities that match the most select words

Save your entity

Auto-suggest entities in training expressions

Add a new training expression
- If some words are matching an entity, our AI engine will suggest your “potential entity to validate” by a light color background in training expression
- You can discard (with the trash icon) or validate (with button Activate entity) suggested entities

Save your entity

3. A few notions

Built-in Entities: these are entities who are matching generic pattern like email, numbers, time, dates…
Value-list entities: list of values ↔ synonyms.

Example: detect gaming consols

- Value: Xbox / Synonyms: xbox 360, xbox one, xbox series
- Value: Playstation / Synonyms: PS1, PS2, PS3, PS4, PS5

Regular Expression entities: use a regular expression to match a pattern

Example: detect: United States zip code

- Regular Expression: \d{5}(-\d{4})?

Entity Manager