🌐 Confluence page AI chatbot workflow

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 l...

Best for

Internal Wiki automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.markdown, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.manualchattrigger, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Joseph LePage.

Original n8n.io source

1.1 Workflow description

Title: 🌐 Confluence page AI chatbot workflow
Workflow name: 🌐 Confluence page AI chatbot workflow

🌐 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

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.
n8n Installation:
- Install n8n locally or on a server using the official installation guide.
AI Agent Configuration:
- Set up OpenAI or other supported language models for natural language processing.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Confluence Page Storage View

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 4 - HTML to Markdown

Type / Role: n8n-nodes-base.markdown - markdown
Config choices: Version 1

Block 5 - gpt-4o-mini

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 6 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.manualChatTrigger - manualChatTrigger
Config choices: Version 1.1

Block 7 - Window Buffer Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.2

Block 8 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Chat Response

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Globals

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 11 - Search By ID

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Page Schema

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 14 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 15 - Send Telegram Message

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 16 - Split Out

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

3. Summary Table

Workflow	🌐 Confluence page AI chatbot workflow
Complexity	advanced
Nodes	16
Categories	Internal Wiki, AI Chatbot
Author	Joseph LePage
Published	25 Feb 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3012/3012.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Internal Wiki workflows AI Chatbot workflows

Frequently asked questions

What does 🌐 Confluence page AI chatbot workflow do?

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 l...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Internal Wiki, AI Chatbot use case.

Joseph LePage

33 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.httprequest n8n-nodes-base.markdown @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.manualchattrigger @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 25 Feb 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/3012/3012.json

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🌐 Confluence page AI chatbot workflow

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🌐 Confluence Page AI Chatbot Workflow

🌟 How the Workflow Works

🔗 Input Chat Message

📄 Data Retrieval

🤖 AI Agent Interaction

💬 Dynamic Responses

🚀 Use Cases

🛠️ Resources for Getting Started

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note2

Block 3 - Confluence Page Storage View

Block 4 - HTML to Markdown

Block 5 - gpt-4o-mini

Block 6 - When chat message received

Block 7 - Window Buffer Memory

Block 8 - Sticky Note3

Block 9 - Chat Response

Block 10 - Globals

Block 11 - Search By ID

Block 12 - Sticky Note4

Block 13 - Page Schema

Block 14 - AI Agent

Block 15 - Send Telegram Message

Block 16 - Split Out

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions