I developed a fully automated Retrieval-Augmented Generation (RAG) AI agent using n8n, seamlessly integrating Google Drive, PostgreSQL, Supabase, and Webhooks to manage, retrieve, and process content efficiently.

Key Features & Workflow:

✅ Automated Content Retrieval – The AI agent connects to Google Drive, dynamically fetching and organizing documents for processing.
✅ PostgreSQL & Supabase Integration – Structured data is stored, indexed, and retrieved using PostgreSQL and Supabase, ensuring fast and efficient search capabilities.
✅ Webhooks for Real-Time Processing – External applications communicate with the workflow via webhooks, enabling real-time content updates and AI-powered responses.
✅ n8n Workflow Orchestration – The entire process is automated within n8n, ensuring seamless execution of tasks without manual intervention.
✅ AI-Powered Query Handling – Using advanced RAG techniques, the agent processes user queries, retrieves relevant data, and generates insightful responses.

This project showcases my expertise in AI-driven automation, full-stack workflow development, and seamless API integrations, creating an intelligent content management system that optimizes data retrieval and enhances business efficiency.

🚀 Tech Stack: n8n, Google Drive API, PostgreSQL, Supabase, Webhooks, AI/LLMs