RAG & Knowledge Basesfree

Create RAG Vector Database from Google Drive Documents Using Gemini & Supabase

by Mantaka MahirUpdated Aug 2026

RequiresGoogle Gemini

Postgres

Google Drive

1/5

STEPS · 9

Called by another workflow

When triggered, loads Google Drive documents, embeds them with Google Gemini, and stores vectors in a Supabase Postgres database for RAG.

Drive Document Chat Agent

When files are added to Google Drive, embeds them into Pinecone with Gemini, letting a chat agent answer questions over the documents.

When triggered, splits and embeds documents with Google Gemini into a Qdrant vector store, then classifies and extracts structured fields.

Fetches documents via HTTP, chunks and embeds them with Gemini into a Qdrant vector store, classifies, and extracts structured fields.