RAG & Knowledge BasesproFluxonLab library

Supabase RAG Chat Agent

by FluxonLab Importadapted from ExtractfromfileUpdated May 2026

RequiresOpenAI

Supabase

1/5

FLOWS

STEPS · 17

Run manually by an operator

Embeds documents into Supabase with OpenAI, then lets a chat-triggered agent answer questions using the Supabase vector store.

Chat File Agent with HTTP Request

On a chat message or Google Drive upload, embeds files into Supabase and answers questions with an OpenAI RAG agent.

On trigger, loads and splits documents, embeds them into Qdrant, then uses OpenAI to extract fields and log them to Google Sheets.

On manual run, scrapes and splits HTML content, embeds it into Qdrant, and uses OpenAI to extract details into Google Sheets.