(5/5)

RAG on living data

Automated workflow: RAG on living data. This workflow integrates 18 different services: notionTrigger, stickyNote, textSplitterTokenSplitter, vectorStoreSupabase, chainRetrievalQa. It contains 36 nodes and follows best practices for error handling and security.

Integrations Used (3)

Schedule

Supabase

Notion

Workflow Structure (20 nodes)

100%

Schedule Trigger

Notion Trigger

Notion

Get updated pages

No Op

Input Reference

Split In Batches

Loop Over Items

Supabase

Delete old embeddings if exist

Limit

Notion

Get page blocks

Summarize

Concatenate to single string

No Op

Supabase Vector Store

No Op

Default Data Loader

Limit

Limit1

No Op

When chat message received

No Op

OpenAI Chat Model

No Op

Question and Answer Chain

No Op

Vector Store Retriever

No Op

Supabase Vector Store1

Stop And Error

Error Handler

No Op

Embeddings OpenAI

No Op

Token Splitter

Node Types:

default

logic

trigger

action

Requires credentials

Prerequisites

Required Credentials (3)

Notion

Used by: Get page blocks, Notion Trigger +1 more

Docs

OpenAI

Used by: Embeddings OpenAI, OpenAI Chat Model

Docs

Supabase

Used by: Delete old embeddings if exist, Supabase Vector Store1 +1 more

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Advanced

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

Setup time: ~50 min

Score: 65/100

Loops

8 Integrations

When to Use This Workflow

Scheduled Operations

Run automated tasks at specific times - daily reports, weekly cleanups, monthly backups.

Set it and forget it - reliable automation that runs on your schedule.

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

{
  "id": "JxFP8FJ2W7e4Kmqn",
  "meta": {
    "instanceId": "workflow-5259ae10",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:47.740740",
    "updatedAt": "2025-09-29T07:07:47.740756",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "RAG on living data",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...