Create RAG-ready knowledge bases from websites using Apify, Gemini & Supabase

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Convert any website into a searchable vector database for AI chatbots. Submit a URL, choose scraping scope, and this workflow handles everything: scraping, cleaning, chunking, embedding, and storin...

Best for

Document Extraction automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.vectorstoresupabase, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.embeddingsgooglegemini, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, @n8n/n8n-nodes-langchain.documentdefaultdataloader, n8n-nodes-base.set, n8n-nodes-base.formtrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dean Pike.

Original n8n.io source

1.1 Workflow description

Title: Create RAG-ready knowledge bases from websites using Apify, Gemini & Supabase
Workflow name: Create RAG-ready knowledge bases from websites using Apify, Gemini & Supabase

What it does

Scrapes websites using Apify (3 modes: full site unlimited, full site limited, single URL)
Cleans content (removes navigation, footer, ads, cookie banners, etc)
Chunks text (800 chars, markdown-aware)
Generates embeddings (Google Gemini, 768 dimensions)
Stores in Supabase vector database

Requirements

Apify account + API token
Supabase database with pgvector extension
Google Gemini API key

Setup

Create Supabase documents table with embedding column (vector 768). Run this SQL query in your Supabase project to enable the vector store setup
Add your Apify API token to all three "Run Apify Scraper" nodes
Add Supabase and Gemini credentials
Test with small site (5-10 pages) or single page/URL first

Next steps

Connect your vector store to an AI chatbot for RAG-powered Q&A, or build semantic search features into your apps.

Tip: Start with page limits to test content quality before full-site scraping. Review chunks in Supabase and adjust Apify filters if needed for better vector embeddings.

Sample Outputs

Apify actor "runs" in Apify Dashboard from this workflow

Supabase docuemnts table with scraped website content ingested in chunks with vector embeddings

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Supabase Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1.1

Block 2 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Embeddings Google Gemini

Type / Role: @n8n/n8n-nodes-langchain.embeddingsGoogleGemini - embeddingsGoogleGemini
Config choices: Version 1

Block 4 - Improve Content Structure Quality

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 5 - Recursive Character Text Splitter

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 6 - Default Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 7 - Clean Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 8 - Enter Website URL and Settings

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.3

Block 9 - Prepare Settings for Apify Web Scraper

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.3

Block 10 - Set Data in Correct Request Format

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 11 - Run Apify Scraper: Scrape All - w/Limit

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Run Apify Scraper: Scrape 1 URL Only

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 13 - No Limit to Number of Scraped Pages?

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 14 - Run Apify Scraper: Scrape All - No Limit

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 15 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Create RAG-ready knowledge bases from websites using Apify, Gemini & Supabase
Complexity	advanced
Nodes	19
Categories	Document Extraction, AI RAG
Author	Dean Pike
Published	06 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10565/10565.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI RAG workflows

Frequently asked questions

What does Create RAG-ready knowledge bases from websites using Apify, Gemini & Supabase do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI RAG use case.

Dean Pike

7 workflows

Nodes

@n8n/n8n-nodes-langchain.vectorstoresupabase n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.embeddingsgooglegemini n8n-nodes-base.code @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter @n8n/n8n-nodes-langchain.documentdefaultdataloader n8n-nodes-base.set n8n-nodes-base.formtrigger

Complexity

advanced

Published 06 Nov 2025

Likes 0

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Install path: /data/workflows/10565/10565.json

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Create RAG-ready knowledge bases from websites using Apify, Gemini & Supabase

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What it does

Requirements

Setup

Next steps

Sample Outputs

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Supabase Vector Store

Block 2 - Sticky Note

Block 3 - Embeddings Google Gemini

Block 4 - Improve Content Structure Quality

Block 5 - Recursive Character Text Splitter

Block 6 - Default Data Loader

Block 7 - Clean Data

Block 8 - Enter Website URL and Settings

Block 9 - Prepare Settings for Apify Web Scraper

Block 10 - Set Data in Correct Request Format

Block 11 - Run Apify Scraper: Scrape All - w/Limit

Block 12 - Run Apify Scraper: Scrape 1 URL Only

Block 13 - No Limit to Number of Scraped Pages?

Block 14 - Run Apify Scraper: Scrape All - No Limit

Block 15 - Sticky Note4

Block 16 - Sticky Note5

Block 17 - Sticky Note7

Block 18 - Sticky Note6

Block 19 - Sticky Note8

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions