AI-Powered RAG Agent & Vector Database Automation
Abdul Basit Usmani
AI-Powered RAG Agent & Vector Database Automation
I built an advanced AI workflow in n8n that combines RAG (Retrieval-Augmented Generation) AI capabilities with automated document processing and vector database management. The workflow includes:
RAG AI Chat Interface:
Integrates with OpenAI Chat Model for conversational AI.
Uses Postgres for chat memory management.
Connects with Supabase and Gmail for real-time data storage and notifications.
Embeddings are generated via OpenAI and stored in Supabase Vector DB for rapid retrieval.
Document Automation Tool:
Monitors Google Drive for new or updated files.
Extracts text from documents, deletes old rows, and inserts processed data into a vector database.
Uses OpenAI embeddings and recursive text splitting for efficient data handling.
This project demonstrates my expertise in n8n automation, AI integration, vector databases, and workflow orchestration for building intelligent SaaS solutions and AI-powered tools.
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Posted Aug 15, 2025
Built AI workflow in n8n integrating RAG AI with document processing and vector database.
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Aug 4, 2025 - Aug 5, 2025
