RAG Architecture with n8n + PostgreSQL (pgvector) + Ollama Gemma4 on AWS EC2

This is a submission for the Gemma 4 Challenge: Write About Gemma 4

A Complete Enterprise AI Knowledge Retrieval Architecture for Private Document Intelligence

Summary

This article explains a Retrieval-Augmented Generation (RAG) architecture using n8n, PostgreSQL with pgvector, Ollama, and Gemma4 running on AWS EC2. The platform automatically ingests emails and PDFs, creates embeddings, stores vectors in PostgreSQL, and retrieves contextual information to generate AI answers grounded in enterprise data.

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