This n8n workflow is designed to estimate and log the carbon footprint of various activities or entities through a comprehensive data processing pipeline. It leverages AI, vector similarity searches, and integration with Google Sheets for record-keeping. When triggered via a webhook, the workflow processes input data, generates embeddings, stores and retrieves similarity-based information, interacts with language models for analysis, and logs results into a Google Sheet. It is useful for organizations aiming to quantify and monitor their environmental impact using automated AI-driven insights and data management.
Carbon Footprint Estimator Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, googleSheets, stickyNote, webhook |
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