Confluence Page AI Powered Chatbot
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Transform your Confluence knowledge base into an interactive AI chatbot. This workflow enables users to ask questions and receive answers directly from your Confluence pages, powered by advanced AI models.
About This Workflow
Unlock the full potential of your Confluence documentation with this AI-powered chatbot. This n8n workflow seamlessly integrates with your Confluence instance to fetch page content, process it using cutting-edge AI models like GPT-4o mini, and deliver intelligent answers directly to users. It intelligently retrieves specific Confluence pages by ID, converts their HTML content to a machine-readable format, and then leverages conversational AI to understand and respond to user queries based on the fetched information. This solution is ideal for centralizing knowledge access and improving information retrieval efficiency within your organization.
Key Features
- Intelligent Confluence Content Retrieval: Fetches specific Confluence pages using their IDs.
- AI-Powered Question Answering: Utilizes advanced LLMs to understand and respond to user queries.
- Contextual Memory: Maintains conversation history for more natural interactions.
- HTML to Markdown Conversion: Processes Confluence content into a usable format for AI.
- Flexible Page ID Management: Easily configure which pages the chatbot should access.
How To Use
- Configure Confluence API Credentials: Set up your Atlassian API token and basic authentication details within n8n to allow access to your Confluence instance.
- Define Page IDs: In the 'Globals' node, update the
page_id_*variables with the actual IDs of the Confluence pages you want the chatbot to access. - Set Up HTTP Request: In the 'Confluence Page Storage View' node, ensure the URL correctly points to your Confluence instance and that the
body-formatquery parameter is set to 'storage'. - Integrate AI Model: Connect your OpenAI API key to the 'gpt-4o-mini' node to enable AI-driven responses.
- Configure Memory: In the 'Window Buffer Memory' node, ensure the
sessionKeyis correctly linked to the incoming chat session ID. - Trigger the Chatbot: Use the 'When chat message received' node as the trigger for your chatbot, initiating the workflow when a user sends a message.
- Review Chat Response: The 'Chat Response' node will output the AI-generated answer to the user's query.
Apps Used
Workflow JSON
{
"id": "f4512ede-30c1-4e81-be77-39dd2cee24d5",
"name": "Confluence Page AI Powered Chatbot",
"nodes": 21,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: f4512ede-30c1...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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