Chatlayer Documentation
Get in touchAbout Chatlayer
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  • start quickly
    • Leadzy tutorial
      • 0. Introduction
      • 1. New bot, new block
      • 2. Understand your users
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      • Add content to your KBAI
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  • build your bot
    • Conversation design
      • Plan your bot
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    • Flow logic
      • Blocks
        • Message
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      • 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
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Last updated 9 months ago

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Entities are pieces of information that can be extracted from something that the user says.

When an entity is detected, it is saved as a , which means that you can re-use that piece of information later.

Access your entities under the tab.

On Chatlayer text fields, entities are noted with an@sign in front of them.

Entity types

Chatlayer offers 4 types of entities;

How to choose an entity

Entities should only be used if their value is needed in bot conversations. For example, if your bot helps users find information about a specific product, you should use entities to get the product name for database queries. However, if your bot merely redirects users to a webpage with all products, entities are unnecessary.

All entities are only detected after you've at least once. Every time you change, add, or delete an entity, you should train the NLP again.

  1. understand users
  2. Natural language processing (NLP)

Detect information with entities

Chatlayer has 4 types of entities: match, contextual, system, and composite.

PreviousBasic NLP conceptsNextMatch entities

Match entities

If the user states something that is part of a predefined list or matches a certain pattern, it will be detected as a match entity.

E.g.: I want to know more about the Premium pack → @product: Premium

Contextual entities

Train your NLP so it can recognise entities that depend on the context of an expression.

E.g.: Book a train ticket from Brussels to Amsterdam → @origin: Brussels, @destination: Amsterdam

Composite entities

A combination of different, but related entities.

E.g.: Two fries please → @order consists of @sys.number (2) and @foodItem (fries)

System entities

Entities that are pre-built on Chatlayer and that match a certain widely used pattern, like email or phone number.

E.g.: My email address is ilovebots@chatlayer.ai → @sys.email: ilovebots@chatlayer.ai

  • Entity types
  • How to choose an entity
trained your NLP
variable
Entities
Detect information from what the user says by using entities.
Decision tree on when to use which entities.