💬 Company website chatbot agent (RAG, calendar integrations)

⚡ 11,356 views · 💬 Support Chatbots

Description

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

1. 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.

2. 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.

3. 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).

4. 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

🔗 Nodes Used

AI Agent, OpenAI Chat Model, Simple Memory, Call n8n Workflow Tool, Chat Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup