This n8n workflow automates the process of backing up weekly notes, analyzing their content, and storing insights with the help of AI-powered tools. It starts with a webhook trigger that receives notes, splits the text for better processing, creates embeddings, and stores them in a vector database (Weaviate). Using AI, it queries related information, generates summaries or insights, and logs the process in a Google Sheet. If an error occurs, a Slack alert notifies the user. This workflow is ideal for maintaining organized, searchable weekly notes while leveraging AI for advanced insights and easy retrieval.
Automated Weekly Notes Backup with AI Insights
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.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, slack, stickyNote, webhook |
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