Automated Blog Post Tagging with AI and Supabase
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This workflow automatically tags blog posts using AI. It leverages Langchain's RAG Agent, OpenAI Embeddings, and Supabase for vector storage to efficiently categorize content.
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About This Workflow
Overview
This n8n workflow automates the process of tagging blog posts using artificial intelligence. It's designed to ingest new blog post content, process it through a Retrieval-Augmented Generation (RAG) agent, and store relevant data in Supabase. The core logic involves receiving content via a webhook, splitting it into manageable chunks, generating embeddings for semantic understanding, and then using these embeddings with a vector store in Supabase. The RAG agent utilizes a chat model and a vector tool to generate tags or summaries based on the blog post content and the knowledge base.
Key Features
- AI-Powered Tagging: Utilizes AI models for intelligent content categorization.
- Webhook Trigger: Easily integrate with existing content management systems or publishing platforms.
- Text Splitting: Efficiently handles large text inputs by breaking them into smaller chunks.
- Vector Embeddings: Leverages OpenAI's embeddings for semantic representation of text.
- Supabase Vector Store: Stores and queries embeddings for efficient retrieval.
- RAG Agent: Implements Retrieval-Augmented Generation for advanced content processing.
- Error Handling: Includes Slack alerts for automated error notifications.
How To Use
- Configure Webhook Trigger: Set up the
Webhook Triggerto receive incoming blog post data. - Process Content: The
Text Splitterwill break down the blog content.Embeddingswill generate vector representations. - Store Embeddings: Use
Supabase Insertto store the embeddings in your Supabase vector store. - Query and Tag: The
Supabase Query,Vector Tool, andRAG Agentwork together to process the content and potentially generate tags or summaries. - Log Results: Use
Append Sheetto log the process status or generated tags to a Google Sheet. - Set up Alerts: Configure
Slack Alertto be notified of any errors during the workflow execution.
Apps Used
Workflow JSON
{
"id": "f8352671-8416-426c-9e9e-d9b234fcaeff",
"name": "Automated Blog Post Tagging with AI and Supabase",
"nodes": 0,
"category": "AI & Machine Learning",
"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: f8352671-8416...
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