Automated Daily Content Idea Generation
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Never run out of content ideas again! This n8n workflow leverages AI to automatically generate fresh, relevant content suggestions daily. It processes inputs, creates embeddings, and stores them for intelligent retrieval, ensuring your content calendar is always brimming with inspiration.
About This Workflow
This n8n workflow is designed to streamline the content ideation process by harnessing the power of AI. It begins with a webhook trigger, ready to receive new data. The incoming information is then intelligently chunked and converted into embeddings using Cohere's language model. These embeddings are stored in a Supabase vector database, creating a knowledge base of content ideas. When new content is needed, the workflow queries this database, retrieves relevant vector information, and utilizes an AI agent powered by an OpenAI chat model and window memory. This agent, with a clear system message, processes the retrieved data to generate actionable content ideas. Finally, the status of this process is logged to a Google Sheet, with error alerts sent to Slack for seamless monitoring and management.
Key Features
- AI-Powered Ideation: Generates relevant content ideas using advanced Large Language Models.
- Seamless Integration: Connects with Cohere for embeddings and OpenAI for chat capabilities.
- Scalable Storage: Utilizes Supabase for efficient vector storage and retrieval.
- Automated Logging: Records workflow status and success in Google Sheets.
- Proactive Alerting: Sends Slack notifications for any errors, ensuring immediate attention.
How To Use
- Configure Webhook Trigger: Set up the
Webhook Triggernode to receive your initial data. This could be a simple text input or data from another service. - Set up Text Splitter & Embeddings: Connect the
Text Splitterto break down larger inputs into manageable chunks, followed by theEmbeddingsnode (configured with your Cohere API key) to create vector representations. - Integrate Supabase: Configure the
Supabase Insertnode with your Supabase API credentials and a unique index name (daily_content_ideas) to store the embeddings. - Set up AI Agent: Connect the
Supabase Querynode (also with your Supabase details) to retrieve relevant embeddings. Link this to theVector ToolandWindow Memorynodes. Finally, configure theChat Model(with your OpenAI API key) and theRAG Agentto define the AI's persona and prompt. - Configure Logging and Alerts: Set up the
Append Sheetnode to log the status to your Google Sheet, specifying theSHEET_IDandLogsheet. Configure theSlack Alertnode with your Slack API credentials to receive error notifications.
Apps Used
Workflow JSON
{
"id": "908e8461-689c-41e9-9e46-a1a7384850ec",
"name": "Automated Daily Content Idea Generation",
"nodes": 11,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 908e8461-689c...
About the Author
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