Born Digital - Documentation
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        • Step 1. - Initializing Your Project
        • Step 2. - Integrating AI Node
        • Step 3. - Finalizing with Testing and Training
        • (Optional) - Integrating a Knowledge Base Index
      • Advanced project
        • Step 1. - Establishing Functions
        • Step 2. - Crafting Greetings
        • Step 3. - Adding the AI node
        • Step 4. - Managing Flow Scenarios
        • Step 5. - Finalizing the Project
        • Step 6. - Training and Execution
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      • Customizing speech synthesis
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      • Randomizing message content
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      • Setting time-based greetings
      • Personalised URL links
      • Custom business statuses with variables
      • String slicing
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    • Intent recognition tips
      • Fine-Tuning Intent Recognition using Generative AI
      • Multi-step intent recognition
      • Recognition based on named entity extraction
    • Prompting cookbook
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  1. Digital Agent
  2. Building new projects
  3. Knowledge base project

Step 2. - Integrating AI Node

This part is about integraton a Generative AI node for dynamic interactions and establishing an ongoing dialogue loop, preparing for further project refinement.

PreviousStep 1. - Initializing Your ProjectNextStep 3. - Finalizing with Testing and Training

Last updated 1 year ago

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With the initial setup complete, the next stride involves incorporating a . This addition enriches customer interactions by enabling recognition of greetings or conversation conclusions, thus enhancing user experience with responsive engagement.

Defining Fallbacks

A fallback mechanism is crucial when specific intents are unrecognizable. In such cases, the interaction defaults to a , ensuring the customer receives pertinent responses to their inquiries.

Step-by-step guide

  1. Access an 'Answer' Node: Initiate by selecting an existing 'Answer' node.

  2. Generate a New Intent: Employ Generative AI intent recognition to create a 'goodbye' intent.

  3. Establish a Fallback: Set up a fallback 'AI' node for unrecognizable queries.

  4. Create an 'END' Node: Designate this as the target for the 'goodbye' intent.

  5. Configure the 'AI' Node: Tailor the system message to meet your requirements.

  6. Incorporate a Follow-Up 'Message' Node: Position this after the 'AI' node to query additional customer questions.

  7. Link for Continuous Interaction: Connect this 'Message' node back to the 'Answer' node, enabling an infinite interaction loop.

Implementing AI Node

Proceeding to Further Development

An is established with a predefined system message (for details, refer to the ). Post-response, a subsequent inquires if the customer has further questions, linking back to the 'ANS_ask' node to foster a continuous dialogue loop. This structure is pivotal for crafting a seamless ask-and-answer loop within the virtual assistant, laying the groundwork for our .

As this step lays the foundational AI integration, it's crucial to progress to , to refine and validate the system's functionality.

'AI' node
linked resources
'Message' node
Conversation Flow builder
STEP 3 - Training and Testing Your Project
Generative AI intent recognition
'AI' node
Step 2: - Adding the intent and AI node