Company Website Chatbot Agent (RAG, Calendar integrations)

Company Website Chatbot Agent

Overview This workflow implements a modular Website AI Chatbot Assistant capable of handling multiple types of customer interactions autonomously. Instead of relying on a single large agent to handle all logic and tools, this system routes user queries to specialized sub-agents—each dedicated to a specific function.

By using a manager-style orchestration layer, this approach prevents overloading a single AI model with excessive context, leading to cleaner routing, faster execution, and easier scaling as your automation needs grow.

How It Works

  1. Chat Trigger
    The flow is initiated when a chat message is received via the website widget.

  2. Manager Agent (Ultimate Website AI Assistant)
    The central LLM-based agent is responsible for parsing the message and deciding which specialized sub-agent to route it to. It uses an OpenAI GPT model for natural language understanding and a lightweight memory system to preserve recent context.

  3. Sub-Agent Routing
    calendarAgent: Handles availability checks and books meetings on connected calendars.
    RAGAgent: Searches company documentation or FAQs to provide accurate responses from your internal knowledge base.
    ticketAgent: Forwards requests to human support by generating and sending support tickets to a designated email.

Setup Instructions

Embed the Chatbot
Use a custom HTML widget or script to embed the chatbot interface on your website.
Connect the frontend to the webhook that triggers the When chat message received node.

Configure Your OpenAI Key
Insert your API key in the OpenAI Chat Model node.
Adjust the model parameters for temperature, max tokens, etc., based on how formal or creative you want the bot to be.

Customize Sub-Agents
calendarAgent: Connect to your Google or Outlook calendar.
RAGAgent: Link to a vector store or document database via API or native integration.
ticketAgent: Set the destination email and format for ticket generation (e.g. via SendGrid or SMTP).

Deploy in Production
Host on n8n Cloud or your self-hosted instance.
Monitor usage through the Executions tab and refine prompts based on user behavior.

Benefits

Modular system with dedicated logic per function
Reduces token bloat by offloading complexity to sub-agents
Easy to scale by adding more tools (e.g. CRM, analytics)
Fast and responsive user experience for customers on your site
Cleaner code structure and easier debugging

1
Downloads
428
Views
9.14
Quality Score
intermediate
Complexity
Author:Abdul Mir(View Original →)
Created:8/13/2025
Updated:9/23/2025

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