This n8n workflow creates an AI-powered chatbot integrated with Confluence, enabling dynamic interaction with Confluence pages through natural language. The system retrieves specific Confluence pages via REST API, converts their content from HTML to Markdown format, and uses GPT-4 for answering user questions based solely on the page content. The workflow also allows for seamless messaging via Telegram, making it suitable for real-time information retrieval and support.
The process starts with a manual trigger for chat messages, which then sets up global variables such as page IDs. It includes nodes to interact with Confluence’s REST API to fetch page details and content, converting retrieved HTML content into Markdown for better processing. The AI language model is then engaged to answer user questions using this context, with chat history maintained using window buffer memory. The AI’s response is sent back via Telegram for immediate user interaction. Additionally, the workflow can search for Confluence pages by ID, retrieving their schema and relevant links, enabling targeted content access.
This workflow is especially useful for teams that collaborate on Confluence and require quick, AI-assisted access to documentation and page content directly from messaging platforms, improving productivity and information sharing.
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