AI-Powered Product Description Generator
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Automate product description creation using AI. This workflow leverages Webhook Trigger, Text Splitter, Embeddings, and Pinecone for efficient generation and storage, with a RAG Agent for intelligent responses.
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About This Workflow
Overview
This n8n workflow automates the generation of product descriptions by leveraging the power of AI. It begins with a Webhook Trigger to receive product information, which is then processed by a Text Splitter to break it down into manageable chunks. Embeddings (using Cohere) convert these text chunks into numerical representations, which are stored in a Pinecone vector database for efficient retrieval. When a query is made, Pinecone Query retrieves relevant information, which is then processed by a RAG Agent (Retrieval Augmented Generation) that uses a Chat Model (Anthropic) and Window Memory to generate contextually relevant product descriptions. The workflow also includes logging to a Google Sheet via Append Sheet and error alerting via Slack Alert.
Key Features
- Real-time product description generation via webhook.
- Text chunking and embedding for efficient AI processing.
- Vector database storage and retrieval with Pinecone.
- Advanced RAG agent for context-aware responses.
- Logging of generation status to Google Sheets.
- Slack alerts for error notifications.
How To Use
- Configure the
Webhook Triggerwith your desired path. - Set up your
Google Sheetscredentials and specify theSHEET_IDandLogsheet name for logging. - Set up your
Slackcredentials for error notifications. - Configure your
Cohere APIandAnthropic APIcredentials. - Set up your
Pineconecredentials and ensure yourproduct_description_generatorindex is created. - The
RAG Agentis pre-configured to use the provided tools and memory; adjust the system message if needed. - Send data to the webhook to trigger the product description generation process.
Apps Used
Workflow JSON
{
"id": "ff40a531-f312-48c0-8d71-dfd207e97167",
"name": "AI-Powered Product Description Generator",
"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: ff40a531-f312...
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