🌐 Confluence page AI chatbot workflow
Needs changesNeeds changes. This template uses 2 thing(s) that n8n 3.0 removes: Manual Chat Trigger, AI Agent v1 (old agent modes). 2 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| Manual Chat Trigger When chat message received | Chat Trigger |
| AI Agent v1 (old agent modes) AI Agent (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (9)
- HTTP Request
n8n-nodes-base.httpRequest - Markdown
n8n-nodes-base.markdown - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Manual Chat Trigger
@n8n/n8n-nodes-langchain.manualChatTrigger - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - Telegram
n8n-nodes-base.telegram - Split Out
n8n-nodes-base.splitOut
What it does
🌐 Confluence Page AI Chatbot Workflow This n8n workflow template enables users to interact with an AI-powered chatbot designed to retrieve, process, and analyze content from Confluence pages. By leveraging Confluence's REST API and an AI agent, the workflow facilitates seamless communication and contextual insights based on Confluence page data. --- 🌟 How the Workflow Works 🔗 Input Chat Message - The workflow begins when a user sends a chat message containing a query or request for information about a specific Confluence page. 📄 Data Retrieval - The workflow uses the Confluence REST API to fetch page details by ID, including its body in the desired format (e.g., storage, view). - The retrieved HTML content is converted into Markdown for easier processing. 🤖 AI Agent Interaction - An AI-powered agent processes the Markdown content and provides dynamic responses to user queries. The agent is context-aware, ensuring accurate and relevant answers based on the Confluence page's content. 💬 Dynamic Responses - Users can interact with the chatbot to: - Summarize the page's content. - Extract specific details or sections. - Clarify complex information. - Analyze key points or insights. --- 🚀 Use Cases - 📚 Knowledge Management: Quickly access and analyze information stored in Confluence without manually searching through pages. - 📊 Team Collaboration: Facilitate discussions by summarizing or explaining page content during team chats. - 🔍 Research and Documentation: Extract critical insights from large documentation repositories for efficient decision-making. - ♿ Accessibility: Provide an alternative way to interact with Confluence content for users who prefer conversational interfaces. --- 🛠️ Resources for Getting Started 1. Confluence API Setup: - Generate an API token for authentication via Atlassian's account management portal. - Refer to Confluence's REST API documentation for endpoint details and usage instructions. 2. n8n Installation: - Install n8n locally or on a server using the official installation guide. 3. AI Agent Configuration: - Set up OpenAI or other supported language models for natural language processing.