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Integrating Rasa as FAQ server

This FAQ bot is built on top of Rasa AI. This workflow is similar to intent detection using Rasa.

To run it, you will need:

  • A running Rasa API
  • A REST API configuration in Live Helper Chat
  • A bot configuration in LHC

Installation Instructions for Docker Version​

```shell
git clone https://github.com/LiveHelperChat/faq-rasa.git && cd faq-rasa

To customize your FAQ data, you need to edit two files:

  • Dockerfiles/faq/faq/data/nlu.yml

    This file provides a sample of how a question intent should be defined with multiple alternative questions:

    - intent: chitchat/ask_weather
      examples: |
        - What's the weather like today?
        - Does it look sunny outside today?
        - Oh, do you mind checking the weather for me please?
        - I like sunny days in Berlin.

  • Dockerfiles/faq/faq/domain.yml

    This file is where you define the answers. The example below shows two possible responses the bot can provide:

      utter_chitchat/ask_weather:
      - text: "Oh, it does look sunny right now in Berlin."
      - text: "I am not sure of the whole week but I can see the sun is out today."

Now you can build the image:

docker-compose build

Run it once for debugging:

docker-compose up

Run it as a service:

docker-compose up -d

To test the API:

curl --request POST   --url http://localhost:5005/webhooks/rest/webhook   --header 'content-type: application/json'   --data '{
  "message": "weather berlin"
}'

Expected output:

[{"recipient_id":"default","text":"Oh, it does look sunny right now in Berlin."}]

Installation Instructions for Non-Docker Version​

python3.6m -m venv ./venv
source ./venv/bin/activate
pip3 install -U pip
pip3 install rasa

# Optional, if you get some errors you can try this
pip3 --use-feature=2020-resolver install rasa

```shell
git clone https://github.com/LiveHelperChat/faq-rasa.git && cd faq-rasa

To customize your FAQ data, you need to edit two files:

  • Dockerfiles/faq/faq/data/nlu.yml

    This is a sample of how a question intent should be defined with multiple alternative questions:

    - intent: chitchat/ask_weather
      examples: |
        - What's the weather like today?
        - Does it look sunny outside today?
        - Oh, do you mind checking the weather for me please?
        - I like sunny days in Berlin.

  • Dockerfiles/faq/faq/domain.yml

    This is a sample of how to define answers. In this case, we've defined two possible responses the bot will provide:

      utter_chitchat/ask_weather:
      - text: "Oh, it does look sunny right now in Berlin."
      - text: "I am not sure of the whole week but I can see the sun is out today."

After modifying the files, you can train your bot and run it as a REST API server:

cd rasa-faq/faq/Dockerfiles/faq/faq && rasa train

# Run as API server
cd rasa-faq/faq/Dockerfiles/faq/faq && rasa run -p 5005

Live Helper Chat Configuration​

Create a new REST API by navigating to:

System configuration > Live help configuration > REST API Calls

Create a new entry. The configuration should look like this:

We set the body request as JSON and set the content.

We also configure Output parsing:

Now save the configuration.

Bot Configuration in Live Helper Chat​

For the bot configuration, you need three triggers:

  • Default: This trigger should have Default and Default for unknown message checked.
  • Message received: This trigger should contain the message text with the content {content_1}.
  • Unknown: This trigger sends a message if Rasa doesn't return anything.

Default trigger configuration:

Message received configuration:

Unknown message configuration:

Conversation example:

What if I Want to Define Custom Answers Directly in Live Helper Chat?​

A simple solution would be to define keywords as answers, which you can then use in the LHC bot.

Define just one answer:

  utter_chitchat/ask_weather:
  - text: "rasa_weather"

The bot setup should be similar to this example.

Don't forget to set your bot as the default department bot.