Document-based RAG chat assistant with Google Drive, Supabase & OpenAI
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 32 nodes and runs when a chat message arrives (plus 3 other triggers). Along the way it connects OpenAI Chat Model, Supabase Vector Store, Embeddings OpenAI and Google Drive and 2 more.
How it runs
Trigger: When a chat message arrives (plus 3 other triggers).
- Switch: routes items into 2 branches
- Edit Fields (Edit Fields (Set)): sets 3 fields: file_id, file_type, source
- Edit Fields (Edit Fields (Set)): sets 3 fields: file_id, file_type, source
- Search files and folders (Google Drive): work with file folder
- Extract From PDF (Extract from File): extracts data from a file (pdf)
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Supabase Vector Store); memory: Chat Memory
- Delete a row (Supabase): delete
- Download file (Google Drive): download
- Get many rows (Supabase): get many
- Merge: merges the data from its input branches
…plus 12 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (16)
- AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Supabase Vector Store
@n8n/n8n-nodes-langchain.vectorStoreSupabase - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Edit Fields (Set)
n8n-nodes-base.set - Google Drive
n8n-nodes-base.googleDrive - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Switch
n8n-nodes-base.switch - Merge
n8n-nodes-base.merge - Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Supabase
n8n-nodes-base.supabase - Remove Duplicates
n8n-nodes-base.removeDuplicates - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Postgres Chat Memory
@n8n/n8n-nodes-langchain.memoryPostgresChat - Extract from File
n8n-nodes-base.extractFromFile
From the author
What is this? This RAG workflow allows you to build a smart chat assistant that can answer user questions based on any collection of documents you provide. It automatically imports and processes files from Google Drive, stores their content in a searchable…