AI-Powered Pinterest Content Generation
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This workflow leverages AI and Retrieval Augmented Generation (RAG) to automate intelligent content creation for Pinterest pins, specifically in the context of Unsplash images. It processes raw data, generates contextual descriptions, and manages outcomes with robust logging and error alerts.
About This Workflow
Revolutionize your Pinterest marketing with this advanced n8n workflow, designed for AI-powered content generation. Triggered by a simple webhook, it efficiently ingests data related to your 'Unsplash to Pinterest' tasks. The workflow intelligently processes this information by splitting text, generating embeddings with Cohere, and building a dynamic knowledge base in Supabase. An OpenAI-powered RAG (Retrieval Augmented Generation) agent, equipped with conversational memory and contextual tools, then leverages this data to craft highly relevant Pinterest pin descriptions. All generated outputs are meticulously logged to Google Sheets for tracking, while instant Slack alerts ensure you're always informed of any processing errors, making your content pipeline smarter and more resilient.
Key Features
- AI-Powered Content Generation: Automatically creates rich, relevant Pinterest pin descriptions and metadata using OpenAI's advanced language models.
- Contextual Understanding with RAG: Employs Retrieval Augmented Generation (RAG) by integrating a Supabase vector store, ensuring generated content is informed by specific, stored data rather than generic responses.
- Intelligent Data Processing: Chunks and embeds incoming text data using Cohere, efficiently building and querying a robust knowledge base for the RAG agent.
- Robust Logging & Error Handling: Automatically logs all processing outcomes and AI-generated content to Google Sheets and sends real-time error alerts via Slack for seamless monitoring and operational reliability.
- Conversational Memory Integration: Maintains context across interactions within the AI agent, allowing for more coherent and intelligent content generation over time.
How To Use
- Configure Webhook Trigger: Set up the
Webhook Triggernode by defining a path. This webhook will be your entry point for submitting data (e.g., Unsplash image URLs, descriptions, or relevant text) for Pinterest content generation. - Set up Cohere & OpenAI Credentials: Provide your API keys for Cohere (used by the
Embeddingsnode) and OpenAI (used by theChat Modelfor the RAG Agent) in their respective credential settings. - Integrate Supabase for Knowledge Base: Connect your Supabase instance by configuring the
Supabase InsertandSupabase Querynodes. Ensure your Supabase project is ready to store and retrieve vector embeddings under the specifiedunsplash_to_pinterestindex, which serves as your AI's custom knowledge base. - Connect Google Sheets & Slack: Configure your Google Sheets credentials for the
Append Sheetnode to log all AI-generated content and processing statuses. Also, set up your Slack credentials for theSlack Alertnode to receive real-time notifications for any errors occurring during the RAG process. - Customize RAG Agent Prompt (Optional): If needed, modify the
RAG Agentnode's prompt and system message (e.g.,You are an assistant for Unsplash to Pinterest) to fine-tune the AI's persona, its understanding of the task, or the specific type of Pinterest content you want it to generate.
Apps Used
Workflow JSON
{
"id": "14678e41-1e7e-49de-a6cc-83cb4542724c",
"name": "AI-Powered Pinterest Content Generation",
"nodes": 10,
"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: 14678e41-1e7e...
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