Pattern Entities

Updated on 07 Jun 2024
1 Minute to read

Article summary

Did you find this summary helpful?

Thank you for your feedback

Pattern or Regular Expression Extraction allows you to extract information presented in a format that can be described using Regular Expression (RegEx). Once you've created a pattern entity, Digital Agent Native NLU will perform a regex extraction on each incoming message and add it to event.nlu.entities.

Example:

Given a Pattern Entity definition with [A-Z]{3}-[0-9]{4}-[A-Z]{3} as pattern:

Extraction will go like this:

User Input Type Value

Find product BHZ-1234-UYT

SKU

BHZ-1234-UYT

{ name: 'SKU',

  type: 'pattern',

  meta:

   { confidence: 1,

     provider: 'native',

     source: 'BHZ-1234-UYT',

     start: 13,

     end: 25,

     raw: {} },

  data: {

    extras: {},

    value: 'BHZ-1234-UYT',

    unit: 'string'

}

}

Was this article helpful?

What's Next

Conversational Workflows