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Create a Chatbot in RhinoAgents

This guide explains how to create, configure, test, and deploy a chatbot in RhinoAgents using the prompt-based workflow builder.

By the end of this guide, you will have a fully working chatbot connected to your integrations (such as Shopify), tested using the preview tools, and embedded into your website using the provided embed code or QR code.

Step 1: Create a Chatbot Using a Prompt

RhinoAgents allows you to create chatbots using simple natural language prompts. This removes the need to manually design workflows from scratch.

Steps

  1. Log in to the RhinoAgents Customer Dashboard
  2. Locate the chatbot creation input box
  3. Describe what you want your chatbot to do

Example Prompt

Create a chatbot for my Shopify store to get order status, list products, and answer customer questions.

  1. Click Create

What Happens Automatically

RhinoAgents will: - Create a new chatbot agent - Generate a complete workflow - Add default trigger and processing nodes - Prepare integration placeholders (Shopify, RAG, AI services)

This allows you to move quickly from idea to implementation.

Step 2: Review the Generated Workflow

After the chatbot is created, you will be redirected to the Workflow Editor.

The workflow visually represents how messages flow through the system.

Typical Workflow Structure

  • Trigger Node
  • Activated when a user sends a message
  • Intent Classification / RAG Node
  • Understands user intent and extracts information
  • AI or LangChain Nodes
  • Generate intelligent responses
  • Integration Nodes
  • Fetch data from Shopify or other systems
  • Response Node
  • Sends the final reply back to the user

You can zoom, rearrange nodes, and follow the message path visually.

Step 3: Configure Nodes

Open the Nodes tab to customize chatbot behavior.

Common Node Types

  • Trigger
  • Entry point for every conversation
  • RAG Service
  • Uses your knowledge base to answer questions
  • LangChain / AI Nodes
  • Generate conversational responses
  • Integration Nodes
  • Retrieve real-time data (orders, products)
  • Socket / Response Node
  • Sends messages back to the chat UI

What You Can Do

  • Edit node settings
  • Define conditions and rules
  • Add new nodes
  • Remove unused nodes
  • Connect nodes to control execution flow

This gives full control over chatbot logic without writing code.

Step 4: Configure Integrations

Go to the Integrations tab to connect external systems.

4.1 Shopify Integration

  1. Select Shopify
  2. Enter required credentials:
  3. Shopify Store URL
  4. API Key or Access Token
  5. Save the configuration

Once connected, the chatbot can: - Fetch order status - List products - Answer store-specific questions - Support customer inquiries automatically

4.2 RAG (Knowledge Base) Integration

RAG allows the chatbot to answer questions from your own documents.

Steps

  1. Open the RAG / Knowledge Base section
  2. Upload files:
  3. CSV
  4. PDF
  5. TXT
  6. Link uploaded files to the workflow

The chatbot will now use your content to generate accurate answers.

Step 5: Test the Chatbot Using Preview Mode

Testing is done from the Preview tab.

Available Preview Options

  • Simulator
  • Test conversations directly inside the dashboard
  • Public Chatbot
  • Generate a public chat link
  • Live Mode
  • Test real-time responses

What to Test

  • Order status queries
  • Product-related questions
  • Knowledge base questions
  • Edge cases and invalid inputs

Use the Logs tab to debug issues if responses are incorrect.

Under Preview → Public Chatbot:

  • A public chat URL is generated automatically
  • A QR code is created for instant access

Use Cases

  • Share the public link with customers
  • Print or display the QR code
  • Test chatbot on mobile devices

No embedding is required for this option.

Step 7: Embed the Chatbot on Your Website

To add the chatbot directly to your website, use the Embed option.

Navigate to: Preview → Embed

You will see an embed code similar to the example below.

Embed Code Example

<!-- Load Socket.io library -->
<script src="https://cdn.socket.io/4.5.4/socket.io.min.js"></script>

<script>
  class ChatbotWidget {
    constructor(options = {}) {
      this.options = {
        workflowId: 'YOUR_WORKFLOW_ID',
        agentId: 'YOUR_AGENT_ID',
        customerId: 'YOUR_CUSTOMER_ID',
        botType: 'sales',
        agentName: 'RhinoBot',
        width: '400px',
        height: '600px',
        position: { bottom: '20px', right: '20px' },
        containerId: 'chatbot-widget'
      };
    }
  }

  // Initialize chatbot widget
  new ChatbotWidget();
</script>