RAG & Knowledge Basesfree

Build an Advanced Multi Query RAG System with Supabase and GPT 5

by Guillaume DuvernayUpdated Aug 2026

RequiresOpenAI

1/5

FLOWS

STEPS · 5

Starts from a chat message

On a chat message, an AI agent runs multi-query retrieval over a Supabase vector store with OpenAI embeddings to answer questions.

Google Drive Document Q&A API

Loads Google Drive documents into a Qdrant vector store and answers questions via webhook using OpenAI retrieval QA.

On a new Google Calendar event, posts to Slack, retrieves context from a vector database, and answers with OpenAI.

On a webhook, an OpenAI RAG agent over Qdrant answers questions, checks Google Calendar, and replies; indexes Google Drive docs.