AI-powered RAG Agent Automation built with n8n

designed and implemented an automated Retrieval-Augmented Generation (RAG) workflow that allows an AI Agent to work with external documents and retrieve relevant information from a vector database.

Workflow includes:

Document ingestion from Google Drive

Document loading and processing

Text splitting into searchable chunks

Vector embeddings

Vector database storage and retrieval

AI Agent integration

Automated RAG pipeline using n8n

The workflow is designed to make company documents and knowledge bases searchable and accessible through an AI-powered workflow.