This n8n workflow automates the process of capturing voice tasks and logging them into Notion for easy tracking and management. It starts with a webhook trigger that listens for incoming voice task data, then splits the text for detailed processing. The workflow generates embeddings of the text using OpenAI’s model, stores these vectors in Weaviate for efficient retrieval, and performs a retrieval-augmented generation (RAG) process to better understand the task. The interpreted task is then logged into a Google Sheet, while any errors during the process trigger Slack alerts for notification. This setup is ideal for teams needing a seamless way to convert voice inputs into organized digital task entries, enhancing productivity and data consistency.
Voice Task to Notion Automation 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.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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