rag-architect

n8n community node for RAG-Architect - Transform any website into AI-ready knowledge chunks

Package Information

Downloads: 51 weekly / 105 monthly
Latest Version: 1.0.1
Author: Jason Pellerin

Available Nodes

RAG-Architect icon
RAG-Architect
Transform any website into AI-ready knowledge chunks with RAG-Architect

Documentation

n8n-nodes-rag-architect

RAG-Architect
License
Version

🧠 Transform any website into AI-ready knowledge chunks directly in n8n

This is an n8n community node for RAG-Architect - a powerful tool that converts web content into structured, AI-ready knowledge chunks.

Features

  • 🌐 URL Processing - Extract and chunk content from any public URL
  • 📄 Structure-Aware Chunking - Preserves document hierarchy and context
  • 🔒 PII Scrubbing - Automatic redaction of emails, phones, and sensitive data
  • ❓ Q&A Generation - Optional AI-generated question-answer pairs
  • 🔗 Multiple Output Formats - n8n, LangChain, LlamaIndex, or raw JSON
  • ⚡ Async Support - Process in background or wait for completion

Installation

Community Nodes (Recommended)

  1. Go to Settings > Community Nodes
  2. Click Install
  3. Enter n8n-nodes-rag-architect
  4. Click Install

Manual Installation

cd ~/.n8n/nodes
npm install n8n-nodes-rag-architect

Prerequisites

You need an Apify API token to use this node:

  1. Create an account at apify.com
  2. Go to Settings > Integrations
  3. Copy your API token

Usage

Basic Example: Process URLs

  1. Add the RAG-Architect node to your workflow
  2. Configure your Apify credentials
  3. Enter URLs to process (one per line or comma-separated)
  4. Choose your output format
  5. Execute!

Operations

Process URLs

Transform web content into knowledge chunks.

Inputs:

  • URLs - One or more URLs to process
  • Output Format - n8n, LangChain, LlamaIndex, or raw
  • Wait for Completion - Wait or return immediately

Options:

  • Generate Q&A Pairs
  • PII Scrubbing settings
  • Chunk size configuration
  • Header splitting rules

Output:

{
  "_type": "chunk",
  "id": "chunk_abc123",
  "content": "The extracted content...",
  "contextHeader": "[Source: example.com | Section: Features]",
  "metadata": {
    "source_url": "https://example.com/docs",
    "title": "Documentation",
    "section": "Features",
    "word_count": 150
  },
  "questions": [
    {
      "question": "What are the main features?",
      "answer": "The main features include..."
    }
  ]
}

Get Run Status

Check the status of an async processing run.

Get Results

Fetch results from a completed run.

Workflow Examples

Simple Knowledge Base Builder

[Manual Trigger] → [RAG-Architect] → [Pinecone Insert]

Customer Support Bot Pipeline

[Webhook] → [RAG-Architect] → [OpenAI Embeddings] → [Vector Store] → [AI Agent]

Documentation Sync

[Schedule] → [RAG-Architect] → [Transform] → [Notion Update]

Configuration Options

Chunking Configuration

Option Default Description
Min Chunk Size 100 Minimum characters per chunk
Max Chunk Size 2000 Maximum characters per chunk
Overlap Size 50 Characters overlapping between chunks
Split On ##, ### Markdown headers to split on
Preserve Tables true Keep tables intact
Preserve Code true Keep code blocks intact

PII Configuration

Option Default Description
Enabled true Enable PII scrubbing
Redact Emails true Replace emails with [EMAIL]
Redact Phones true Replace phones with [PHONE]

Q&A Generation

Option Default Description
Generate Q&A false Generate question-answer pairs
Questions/Chunk 3 Number of Q&A pairs per chunk

Output Formats

n8n Format (Recommended)

Optimized for n8n workflows with clean structure:

{
  "_type": "chunk",
  "content": "...",
  "contextHeader": "...",
  "metadata": {...}
}

LangChain Format

Compatible with LangChain document loaders:

{
  "page_content": "...",
  "metadata": {...}
}

LlamaIndex Format

Compatible with LlamaIndex documents:

{
  "text": "...",
  "metadata": {...}
}

Error Handling

The node supports n8n's standard error handling:

  • Stop on Error - Workflow stops on first error
  • Continue on Fail - Errors are captured but workflow continues

Resources

Support

License

MIT License - see LICENSE for details.

Built with 🧠 by Jason Pellerin

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