This n8n workflow automates the process of creating Trello issue cards based on incoming data, utilizing AI-powered text processing and vector search for enhanced context understanding. When triggered via a webhook, the workflow splits the input text, generates embeddings, and stores the data into a vector database for efficient retrieval. It then uses a language model to analyze the context, generate a meaningful issue report, and logs the process into Google Sheets. If errors occur, it sends immediate Slack alerts. This workflow is ideal for streamlining issue management, customer support, or team task automation by integrating AI insights with project management tools.
Automated Issue Ticketing with Trello and AI Integration
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook |
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