AI Agent To Chat With Files In Supabase Storage

n8n template #2621

Summary

Video Guide I prepared a detailed guide explaining how to set up and implement this scenario, enabling you to chat with your documents stored in Supabase using n8n. Youtube Link Who is this for? This workflow is ideal for researchers, analysts, business owners, or anyone managing a large collection of documents. It's particularly beneficial for those who need quick contextual information retrieval from text-heavy files stored in Supabase, without needing additional services like Google Drive. What problem does this workflow solve? Manually retrieving and analyzing specific information from large document repositories is time-consuming and inefficient. This workflow automates the process by v

How to set it up

Open template #2621 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
Create 4 credentials under Credentials → Add credential: Supabase, Embeddings OpenAI, OpenAI Chat Model, Supabase Vector Store. Then open each of those nodes and pick the credential.
Check the model in the AI Agent node. The template may point at a model your account can't use; swap it for one you have access to.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "AI Agent To Chat With Files In Supabase Storage" (https://n8n.io/workflows/2621). It uses: HTTP Request, Supabase, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter, Supabase Vector Store, Default Data Loader, Vector Store Question Answer Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

HTTP Request Supabase AI Agent Embeddings OpenAI OpenAI Chat Model Recursive Character Text Splitter Supabase Vector Store Default Data Loader Vector Store Question Answer Tool

Questions

Yes. Mark Shcherbakov published it free on n8n.io as a verified creator, and it has 68K views. It runs on n8n Cloud or a self-hosted n8n instance.

Supabase, Embeddings OpenAI, OpenAI Chat Model, Supabase Vector Store. The other 5 nodes are built into n8n.

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