Automated Blog Post Tagging with AI and Supabase

Name: Automated Blog Post Tagging with AI and Supabase
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Author: Free N8N

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AI & Machine LearningAILangchainOpenAIRAGSupabaseautomationbloggingtagging

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 Trigger to receive incoming blog post data.
Process Content: The Text Splitter will break down the blog content. Embeddings will generate vector representations.
Store Embeddings: Use Supabase Insert to store the embeddings in your Supabase vector store.
Query and Tag: The Supabase Query, Vector Tool, and RAG Agent work together to process the content and potentially generate tags or summaries.
Log Results: Use Append Sheet to log the process status or generated tags to a Google Sheet.
Set up Alerts: Configure Slack Alert to be notified of any errors during the workflow execution.

Apps Used

Langchain

OpenAI

RAG

Supabase

automation

blogging

tagging

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.