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Documentation

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  • Languages iconEnglish
    • Tiếng Việt
    • Janpanese

›III. History

Documentation

  • Overview
  • I. Chatbot Introduction

    • What is Chatbot
    • Chatbot's purposes
    • Popular types of Chatbot
    • Benefits of using FPT.AI Chatbot
    • Starting with FPT.AI

    II. Building Chatbot on FPT.AI Platform

    • Working Mechanism
    • Bot building process
    • Creating your Chatbot
    • Natural Language Processing - NLP
    • Answer scenarios
    • New Bot scenarios - Bot Builder
    • Answer cards
    • Step connecting buttons
    • Getting customer's information using Form cards
    • Variable settings and management
    • Variable condition review
    • Memories
    • Send/get information via JSON API card
    • Reminder
    • Advanced functions
    • Persistent menu

    III. History

    • History - Updating Bot knowledge

    IV. Multi-channel Integration

    • Integrate with Facebook
    • Integrate with Facebook at Work
    • Integrate with Viber
    • Integrate with Zalo
    • Integrate with website
    • Webhook

    V. Broadcast

    • Broadcast

    VI. Auto Comment

    • Auto comment on Facebook

    VII. Automation Test

    • Check base on testcases
    • Auto create testcases

    VIII. Analytics

    • Introduction
    • Number of user's requests
    • Top matched intents
    • Chat with Bot
    • Number of new users
    • Top scenarios
    • Number of messages bot answered
    • Number of user's requests per hour
    • Number of active users per hour
    • Real-time analytics
    • Broadcast report

    X. Rating and Survey

    • Rating
    • Survey

    XI. Bot Setting - Management

    • Introduction
    • Bot information
    • Messages management
    • Data management
    • Bot intent confidence
    • Delete Bot data
    • Delete bot
    • Transfer bot ownership
    • Version

    XII. Bot Roles

    • Bot roles

    XIII. Chatbot SDK

    • Chat Bot SDK
  • Appendices

Live Support

  • Introduction
  • Customer list interface
  • Customer support flow
  • Note feature
  • Suppoter chat
  • KPI report feature
  • Ticket config
  • Ticket report
  • Archive conversation
  • Ticket management
  • Auto assign to supporters

Tutorials (Videos)

  • 1. Brief overview of FPT.AI
  • 2. Using QnA feature to create a Chatbot
  • 3. Creating Chatbot with complicated scenarios
  • 4. Precondition fucntion in Scenarios
  • 5. Random answer function in Scenarios
  • 6. NLP feature
  • 7. Exact match and Predictive Match in NLP
  • 8. History of Recognition
  • 9. Broadcast feature
  • 10. Live Support feature
  • 11. Persistent Menu
  • 12. Auto-comment feature on Facebook
  • 13. Bot roles
  • 14. Bot configuration in Settings section
  • 15. Integration Chatbot with Facebook
  • 16. Integration Chatbot with Facebook at Work

API Reference

  • Introduction
  • General
  • Natural Language Processing

    • Intent
    • Entity
    • Sample
    • Train
    • Predict
    • Keyword
    • Dictionary

    Dialogue Management

    • Get Answer
    • JSON Card
    • Types of the message

History

Updating Bot knowledge

You can monitor conversation history at the History menu.

When Bot intent confidence is low and the Bot misunderstand the customer’s Intent, you can update the current Intent by:

Select Edit at the wrong intent identification -> Edit to the correct Intent -> Save

1

Example: User said “Tôi muốn giao hàng”, the correct intent of this sentence is to get delivery (giao_hang), not (tot_lam). Therefore, you will need to edit “tot_lam” to “giao_hang” then Save.

2

Notice: To finish updating the bot, select Train to update the information to the database. The next time it receives a similar question, the bot will be able to give the accurace response.

To check details of Intents, Entities, and Reliability of your bot, select Details. The Knowledge Details window will pop up.

3

In this window, the Predict menu will display top 3 intents your bot can identify with highest reliability in the decreasing order, as well as related entities (if any).

4

To evaluate Bot knowledge, select Bot response to check responses of the Bot to customers -> Choose Correct/ or Incorrect.

5

In History, you can find the time period where requests were made by clicking on Request time from -> Request time to, or find the request using provided search criterions. Details on these criterions can be found in Analytics > Chat with Bot.

6

Extract history data: When the need to extract all conversation data between users and bot arise, you can choose Extract all data.

You can also extract data per criterions or time by using History with the criterions, then choose Extract data.

7

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