This n8n workflow automates the process of generating, embedding, storing, and logging daily content ideas. It is triggered via a webhook that receives input, which is then split into manageable chunks for natural language processing. The workflow utilizes OpenAI’s language model and Cohere’s embedding service to analyze and generate content insights. The generated ideas are stored in a Supabase vector database for efficient retrieval and context management. Additionally, the workflow logs each content idea into a Google Sheet and sends alerts to Slack in case of errors. This automation is ideal for content teams seeking to streamline daily content brainstorming, idea management, and collaboration.
Automated Daily Content Idea Generation and Logging
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.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook |
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