Automate Job Reposting with AI-Powered RAG
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Streamline your recruitment process by automatically reposting job opportunities using an intelligent RAG (Retrieval-Augmented Generation) system. This workflow leverages AI to ensure your job listings are consistently refreshed and optimized.
About This Workflow
This n8n workflow automates the repetitive task of reposting job listings, ensuring your opportunities remain visible and attracting fresh talent. By integrating with Google Drive to manage job content and Supabase for knowledge retrieval, this solution utilizes AI to intelligently update and present your job postings. The workflow identifies relevant job information, processes it through an AI model, and leverages a RAG system to ensure content adheres to specific formatting and style guidelines. This significantly reduces manual effort and enhances the efficiency of your recruitment operations.
Key Features
- Automated Job Reposting: Eliminate manual effort by automatically refreshing job postings.
- AI-Powered Content Generation: Utilize OpenAI to ensure content quality and adherence to guidelines.
- RAG for Knowledge Retrieval: Leverage Supabase as a vector store to maintain and retrieve specific formatting and style rules.
- Google Drive Integration: Easily manage and source job content from Google Drive.
- Customizable AI Agent: Configure an AI agent with specific instructions for content regeneration.
How To Use
- Configure Google Drive Credentials: Connect your Google Drive account to access job content files.
- Set Up Google Drive Trigger: Define the specific folder in Google Drive that contains your job descriptions (e.g., a 'GPT' folder).
- Integrate Supabase: Connect your Supabase instance and specify the 'documents' table for storing and retrieving RAG data.
- Configure OpenAI Credentials: Link your OpenAI API key for AI-powered text processing.
- Define AI Agent Prompt: Customize the system message for the AI Agent (
1b5a91cc-2f72-493c-af97-1bea742b16d0) to outline its role, rules, and the desired output format, referencing the 'notodoanimacion' knowledge base. - Implement Text Splitting and Embeddings: Utilize the 'Recursive Character Text Splitter' and 'Embeddings OpenAI' nodes to prepare text for the vector store.
- Set Up Vector Store Insertion: Use the 'Supabase Vector Store' node (
79cdc892-5fc1-4c5f-a5f1-a8d79634bc26) to insert processed job data and embeddings into Supabase. - Configure Retrieval Tool: Set up the 'Supabase Vector Store' node (
92521215-724c-4dc8-b39c-2b25fc69febc) as a tool for the AI agent to retrieve relevant information. - Enable and Test: Activate the workflow and monitor its execution to ensure jobs are being processed and reposted as intended.
Apps Used
Workflow JSON
{
"id": "1eebd793-d650-4862-9251-2d832e6419d0",
"name": "Automate Job Reposting with AI-Powered RAG",
"nodes": 16,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 1eebd793-d650...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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