Chatbot System Architecture
A chatbot system architecture diagram shows how user messages flow through natural language understanding, dialogue management, and response generation. It's useful for planning conversational AI projects or documenting existing bots. Tip: always include a fallback-to-human path to show how the system handles queries it can't resolve.
The prompt behind this diagram
Create a chatbot system architecture diagram. Include a user messaging interface (web widget or messaging app), a natural language understanding service for intent recognition, a dialogue manager tracking conversation state, a knowledge base or FAQ database, an integration layer calling external APIs for tasks like order lookup, a response generation module, a fallback handler routing to human support, and a logging and analytics service capturing conversation data. Show the message flow from user input through NLU, dialogue management, and back to the user.
Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.
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