Chatlayer Documentation
Get in touchAbout Chatlayer
  • Welcome
  • What's new
  • Send feedback
  • start quickly
    • Leadzy tutorial
      • 0. Introduction
      • 1. New bot, new block
      • 2. Understand your users
      • 3. Collect and display user input
      • 4. Steer the conversation with Conditions
      • 5. Empower your bot with Actions
      • 6. Set up a channel and publish your bot
    • Templates
      • Banking
      • E-Commerce Returns
      • E-Bike Shop
      • E-Scooter Support
      • Feedback
      • Find Nearest Location
      • GPT
      • 🆕Gym
      • Job applications
      • Knowledge base AI template
      • Lead generation
      • 🆕NPS
      • Restaurant
      • Retail
  • navigation
    • Analytics
      • Dashboard
      • Customers
      • Conversations
      • User flow
      • Intents
      • 🆕Funnels [Beta]
    • Bot builder
      • Flows
        • Canvas functionalities
        • Collaborate with team members
        • Manage your flows
        • 🆕[Beta] Export and import flows
      • Bot dialogs view
      • Translations
      • Events
    • NLP
      • Dashboard
      • Intents
      • Expressions
      • Entities
      • Train
      • NLP settings
      • Improve
    • Knowledge base AI
      • Add content to your KBAI
      • Build your KBAI flow
      • Use your KBAI source URL in a button
      • Use tags to limit your KBAI content
      • 🆕Use Tables to store your KBAI questions
      • 🆕Manage handover where KBAI is unsatisfactory
    • History
      • Conversations
      • Execution logs
      • Versions
    • Channels
    • Tables
      • Create a table with records
      • Column types
      • Operate on your records
        • Insert record
        • Update record
        • Retrieve record
        • Delete record
      • API
    • Settings
      • Bot settings
      • Offloading
      • Variables
      • Voice
      • Import/Export
  • build your bot
    • Conversation design
      • Plan your bot
      • Conversation design workflow
    • Flow logic
      • Blocks
        • Message
        • Condition
        • Collect input
        • Action
      • Go-to connections
    • 🆕Emulator
    • Tips & best practices
      • Route your flow depending on the time
      • Improve the Not understood block
        • How to create better not understood messages
        • Not understood counter
        • Not understood Google search
      • Go to previous block
      • Recognizing a returning user
      • Skip introduction message
      • Route your flow depending on the channel
      • Reuse flows
      • Connect two bots to each other
  • understand users
    • Natural language processing (NLP)
      • Basic NLP concepts
      • Detect information with entities
        • Match entities
        • Contextual entities
        • System entities
        • Composite entities
      • NLP best practices
        • Word order and diversity of expressions
      • AI intent booster
      • Train your NLP
      • Context
      • NLP import & export
      • Sentiment analysis
    • Languages
      • Supported languages
      • Make your bot multilingual
      • Change language within the conversation
  • set up channels
    • Add a channel to your bot
    • All channels
      • 🚨Facebook Messenger [Deprecated soon]
        • Facebook Admin Removal
        • Facebook Webview Whitelisting
        • Facebook Messenger API updates for Europe
      • 🚨Google Assistant [Deprecated soon]
      • Webhook
      • Web
        • 🚨Web V1 [Deprecated]
          • Customize web widget
          • Live example web widget
        • 🆕Web V2
          • 🆕From Web V1 to V2
          • 🆕Web V2 methods and options
    • Sinch Conversation API
      • Configure your Sinch Conversation API
      • 🆕 Make the most of RCS with Carousels
      • WhatsApp Business API
  • integrate & code
    • API calls
      • Configure your API integration
      • Advanced API features
      • V1 API Reference
      • Custom integrations 101
    • Code editor
      • [Example] Sending data to Airtable (POST)
      • [Example] Retrieving data from Airtable (GET)
      • [Example] Making SOAP requests
    • App integrations
      • Airtable
      • Freshdesk
      • Freshdesk Messaging
      • 🆕Gmail
      • Intercom
      • Mailgun
      • OpenAI: GPT-3, ChatGPT and GPT-4
      • Salesforce
      • 🆕Slack
      • Topdesk
      • Zendesk Support
      • Zendesk Sunshine (beta)
    • 🆕Expression syntax
    • Human handover & live chat
      • Sinch Contact Pro
      • #Interact
      • Genesys Cloud
      • Offloading Webhook
      • Salesforce Service Cloud
      • Sparkcentral by Hootsuite
      • Zendesk Chat
    • Chatlayer messages specifications
  • Publish
    • Publish your bot
      • Publish a flow
  • Analyze & maintain
    • Analytics definitions
    • Data retention
    • Maintenance
    • Session
    • Track events for analytics
  • VOICE
    • 🆕Send bot response as audio
    • Voicebots
      • Create a voicebot
      • Voicebot-specific actions
      • Test your voicebot
      • From chat to voice
  • access & support
    • Identity & Access
      • Single Sign-On (SAML SSO)
    • Billing & subscription
    • Get in touch
    • Chatlayer glossary
    • SaaS Regions & IP Ranges
    • Status
    • Debug your bot
      • No correct response
      • Collect input not working
      • Video isn't working
Powered by GitBook
On this page
  • Add a composite entities
  • Route your conversation based on composite entity values

Was this helpful?

  1. understand users
  2. Natural language processing (NLP)
  3. Detect information with entities

Composite entities

Use composite entities when you want to combine two different entities into one.

PreviousSystem entitiesNextNLP best practices

Last updated 9 months ago

Was this helpful?

A composite entity is a combination of two or more different, yet related . This type of entity allows you to combine two separate entities into a single one.

Example of composite entity

When a user tells the bot Two fries please, the bot will understand this as the predefined composite entity @order, which consists of two separate entities:

  • @sys.number : 2, a .

  • and @foodItem: fries, a .

Add a composite entities

To add a composite entity to your bot:

  1. Click on Composite entities.

  2. Click on Add composite entity.

  3. Fill in the Entity name.

  4. Under Entity values, add the entities that will make the composite one.

  1. Click on Create entity.

Route your conversation based on composite entity values

To route your flow based on composite entities:

  1. Let's say you now want to route the flow based on the year of the car. For instance:

    • When the year is equal to or more than 2016, the car is a green car

    • When the year is less than 2016, the car is not a green car.

  1. Click Save.

From your tab, make sure that you have different entities that your composite would be made of. For this example, we created a @car_brand match entity and will use @sys.number.

Create a block where you composite entity will be detected. In this example, we detect @car_info.

Create a block that checks the @car_brand.sys.number variable.

Entities
Collect input
Condition
system entity
match entity
entities
Composite entities tab.
Add a composite entity.
Detect a composite entity inside your flow.
Route the flow based on part of a composite entity.