This n8n workflow automates the process of generating and storing weekly summaries of habit form data. Triggered via a webhook, it processes incoming responses, employs AI to interpret and summarize the data, and logs the results in Google Sheets. Additionally, it stores data embeddings in a vector database (Supabase) for efficient retrieval and context management. Error handling includes Slack notifications for troubleshooting. This workflow is ideal for tracking habit consistency, generating weekly reports, and maintaining organized habit records.
Automated Weekly Habit Summary Logging
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.lmChatOpenAi, @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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