This n8n workflow is designed to facilitate seamless integration between Confluence and a chatbot interface, providing automated retrieval, processing, and user interaction with Confluence pages. It begins with nodes that document the setup for accessing Confluence’s REST API using basic authentication, including instructions for generating API tokens and encoding credentials. The workflow then takes a user input via a chat trigger, identifies relevant Confluence pages by ID through API requests, and retrieves page content in a specific format. The content is converted from HTML to Markdown for better readability and fed into a language model (GPT-4) to generate context-aware responses. These responses are formatted, stored in memory, and sent back to the user via Telegram. The process supports multiple pages, allowing for a flexible and interactive way to access and discuss Confluence content through chatbots, ideal for knowledge management, customer support, or team collaboration scenarios.
Automated Confluence Content Retrieval & Chatbot Interaction
Node Count | 11 – 20 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.manualChatTrigger, @n8n/n8n-nodes-langchain.memoryBufferWindow, httpRequest, markdown, set, splitOut, stickyNote, telegram |
Reviews
There are no reviews yet.