This n8n workflow automates the process of transforming raw ideas into engaging Instagram carousel content using AI. When a new idea is submitted via a webhook, it is split into manageable text chunks, embedded into vector space, and stored in Weaviate for semantic search. The workflow then retrieves related ideas or content, processes the data with a language model, and logs the outcome in Google Sheets. If any errors occur during execution, a Slack notification alerts the user. This setup is ideal for content creators or marketing teams looking to streamline content ideation and creation using AI-driven automation.
Turning Ideas into Instagram Carousels with AI Automation
| Node Count | 11 – 20 Nodes |
|---|---|
| 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.vectorStoreWeaviate, googleSheets, slack, stickyNote, webhook |
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