This n8n workflow automates the creation and logging of a daily email digest. It is triggered via a webhook, which could be called manually or scheduled, to compile content, process it using AI models, and generate a summarized digest. The workflow involves dividing the incoming content into manageable pieces, creating embeddings for semantic understanding, storing and retrieving data from a Supabase vector database, and utilizing an LLM for data handling and summarization. It also logs the process results in a Google Sheet for record-keeping. If errors occur, it sends alerts to a Slack channel, ensuring smooth operation. This workflow is ideal for automating daily summaries of news, reports, or other content, making it suitable for content curation, business reports, or information dissemination tasks.
Automated Daily Email Digest 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.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook |
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