This n8n workflow automates the process of sending SMS reminders for assignments by leveraging webhooks, AI, and cloud integrations. It begins with an HTTP POST webhook trigger that receives assignment data, which is then processed and analyzed using language models and vector databases. The workflow stores, retrieves, and processes relevant information through integrations with Weaviate, OpenAI, and Google Sheets, enabling contextual AI interactions. Finally, if issues arise, it sends alerts via Slack, while successful processing results are logged in a Google Sheet. This workflow is ideal for educational institutions, training programs, or any organization needing automated, intelligent reminders for assignments or deadlines, enhancing communication efficiency and operational workflows.
Automated Assignment SMS Reminder System
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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