Curated

(5/5)

AI Agent To Chat With Files In Supabase Storage

Replace Storage name, database ID and credentials.

Integrations Used (10)

HTTP Request

Documentdefaultdataloader

Textsplitterrecursivecharactertextsplitter

Workflow Structure (22 nodes)

100%

Langchain.chat Trigger

When chat message received

Langchain.lm Chat Open Ai

OpenAI Chat Model1

Langchain.embeddings Open Ai

Embeddings OpenAI2

Langchain.agent

AI Agent

Langchain.vector Store Supabase

Supabase Vector Store

Langchain.tool Vector Store

Vector Store Tool1

Langchain.lm Chat Open Ai

OpenAI Chat Model2

Manual Trigger

When clicking ‘Test workflow’

Supabase

Get All Files

Aggregate

Http Request

Get All files

Split In Batches

Loop Over Items

Http Request

Download

Switch

Extract From File

Extract Document PDF

Merge

Supabase

Create File record2

Langchain.embeddings Open Ai

Embeddings OpenAI

Langchain.vector Store Supabase

Insert into Supabase Vectorstore

Langchain.document Default Data Loader

Default Data Loader

Langchain.text Splitter Recursive Character Text Splitter

Recursive Character Text Splitter

Node Types:

http

default

logic

trigger

transform

Requires credentials

Prerequisites

Required Credentials (2)

OpenAI

Used by: Embeddings OpenAI, OpenAI Chat Model1 +2 more

Docs

Supabase

Used by: Get All files, Create File record2 +4 more

Docs

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~45 min

Score: 70/100

Conditional Logic

Loops

5 Integrations

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd"
  },
  "nodes": [
    {
      "id": "f577f6bd-b1a4-48ec-9329-7bccc3fc1463",
      "name": "Get All files",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        400,
        -100
      ],
      "parameters": {
        "url": "=https://yqtvdcvjboenlblgcivl.supabase.co/storage/v1/object/list/private",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n \"prefix\": \"\",\n \"limit\": 100,\n \"offset\": 0,\n \"sortBy\": {\n \"column\": \"name\",\n \"order\": \"asc\"\n }\n}",
        "sendBody": true,
        "specifyBody": "json",
...