What’s Included:

• Drag-and-drop N8N workflow file
• Node.js microservice for PDF chunking (using pdf-lib)
• Full setup & install guide (tested on Ubuntu 20.04+)
• Gemini AI prompt example (optional)
• Tips for testing & integrating in your workflows
  

Why Use This?

• Process massive PDFs without hitting file size or page count limits
• Works with Gemini, GPT, Claude — or any tool
• Fully self-hosted — zero ongoing cost
• Each chunk gets its own download link
• Ideal for books, scanned docs, reports, and more
  

Requirements:

• Ubuntu server or VPS
• Node.js + NPM
• N8N (self-hosted or cloud)
• Optional: AI service or parser of your choice
  

Use Cases:

• Chunk documents before AI input
• Feed into OCR or parsing tools
• Store parts in Google Drive or S3
• Use for document search & indexing
• Split large files for manual or automated review
  

Instant Download (ZIP)
Includes workflow file, service code, and instructions

Price: FREE
(Only cost is your hosting — no API fees!)

The post 📦 PDF Chunker – Split Large PDF Files for AI or Automation (Free N8N Workflow) appeared first on SammyAI.

Prices in USD

Transform your Google Drive into an enterprise-level AI knowledge powerhouse with advanced multimodal processing!

Get the Complete Edition

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The Complete version includes:

• PDF Image, Diagram and Handwritten text support using Gemini Document Vision
• Tabula Data Schema Support for large CSV and EXCEL files where a single file is storred in multiple embeddings
• AI Agent workflow with Multi RAG Database support
  

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THE COMPLETE ADVANTAGE

Advanced Multimodal Processing

• Google Vision PDF Analysis – Extracts every word, diagram, and annotation from complex PDFs with surgical precision
• Intelligent Image Understanding – GPT-4 Vision describes charts, screenshots, and visual content in searchable detail
• Excel Schema Intelligence – Understands spreadsheet structure, column relationships, and data patterns
• Cross-format Knowledge Synthesis – Connects information across documents, images, and data tables

Enterprise-Grade Architecture

• Multiple Workflow Templates – Pre-configured for different industries and use cases
• Multi-Workflow RAG Agent – Query across multiple knowledge bases simultaneously
• Advanced Schema Storage – AI agents can understand and query spreadsheet structures
• Scalable Processing – Handles enterprise-volume document collections

WHAT MAKES THE COMPLETE EDITION UNSTOPPABLE

Professional PDF Intelligence

• Perfect Text Extraction – Captures every word, even from scanned documents
• Diagram Analysis – Describes charts, flowcharts, and technical drawings
• Table Recognition – Converts PDF tables into queryable data structures
• Annotation Preservation – Maintains context from highlighted or marked-up documents

Spreadsheet Mastery

• Column Structure Understanding – AI knows what each column represents
• Data Relationship Mapping – Connects related data across different sheets
• Query Optimization – Enables natural language queries about specific data points
• Schema-Aware Responses – Provides context-rich answers about tabular data

Multi-Workflow Ecosystem

• Industry Templates – Education, Healthcare, Legal, Research, Corporate
• Cross-Database Queries – Ask questions across multiple knowledge bases
• Unified AI Agent – One interface to query all your organizational knowledge
• Department Isolation – Separate workflows for different teams or projects

ENTERPRISE USE CASES

Healthcare Organizations: Process medical research, patient protocols, and diagnostic images with HIPAA-compliant knowledge retrieval

Legal Firms: Transform case files, contracts, and legal documents into searchable precedent databases

Research Institutions: Connect academic papers, data sets, and experimental results into unified research platforms

Fortune 500 Companies: Create department-specific knowledge bases that understand both documents and business data

Consulting Firms: Build client-specific knowledge systems that understand proposals, reports, and analytical data

COMPLETE PACKAGE INCLUDES

5 Pre-Configured Workflows:

• Education & Training Materials
• Corporate Knowledge Base
• Research & Development
• Healthcare Documentation
• Legal & Compliance

Advanced RAG AI Agent:

• Multi-database query capability
• Schema-aware spreadsheet queries
• Cross-reference document connections
• Source attribution with confidence scoring

Enterprise Features:

• Batch processing optimization
• Advanced error handling
• Performance monitoring
• Scalability configurations

DEPLOY IN MINUTES

1. Choose your template from 5 industry-specific configurations
2. Update connection variables for your Google Drive and database
3. Run automated setup (creates optimized tables and functions)
4. Deploy the RAG agent with multi-workflow capabilities
5. Start querying your enterprise knowledge base immediately!

The Complete Edition transforms your Google Drive from simple file storage into an enterprise-grade AI knowledge system that understands text, images, data, and the relationships between them all.

Prices in USD

The post 🔥COMPLETE – Google Drive to Vector Database RAG Workflow appeared first on SammyAI.

I was building a RAG system for an educational client and…..their handwritten PDF assignments had students circling diagrams and standard PDF extraction wasn’t cutting it so I turned to Google Gemini’s vision API (so it can analyse entire documents including all the visual stuff, hand written text…you name it!).

Thought I’d share this as I see a few others have had this similar issue.

Key Steps:

Replace PDF Extract with Base64 Conversion – Instead of using standard PDF extraction, convert your PDF to Base64 format using n8n’s conversion nodes

Set Up Gemini API Integration – Create an HTTP Request node with POST method pointing to Google’s Gemini API endpoint for document analysis

Configure Your Prompt – Use prompts like “Give me the complete text as written, and when you encounter diagrams or images, describe them in detail including any annotations and how they reference the content”

Handle Processing Time – Gemini vision takes significantly longer than text extraction, so plan your workflows accordingly and consider breaking large documents into smaller chunks

Choose the Right Use Case – This method is perfect for educational assignments, handwritten documents, or PDFs with important diagrams, but stick to standard PDF extraction for large text-only documents

Expect Detailed Output – Gemini often produces more descriptive text than the original document, providing comprehensive analysis of visual elements and their spatial relationships

Setup Instructions:

Get Your Gemini API Key:

1. Go to aistudio.google.com
2. Navigate to API keys section
3. Create and copy your API key

Add Header Authentication in n8n:

1. Create new credential type: “HTTP Header Auth”
2. Header name: x-goog-api-key
3. Header value: Your copied API key
4. Apply this credential to your HTTP Request node

The post 💫Converting PDFs with Images and Diagrams Using Google Gemini Vision in n8n appeared first on SammyAI.

This setup leverages Fal.AI’s Flux LoRA training to create high-quality, consistent images featuring your models (people), products, and branding elements (logos/overlays). It’s particularly useful for building a content pipeline for ecommerce, social media, or promotional material.

After experimenting with other tools like Replicate, I found Fal.AI to be significantly faster, with a cleaner UI and a more intuitive experience — especially if you’re testing via their API Playground.

Workflow Overview

The system integrates the following tools:

• Google Sheets – Used as the control panel for:
• Google Drive – For uploading and storing training image files
• Catbox.moe – Used to publicly host zipped training image sets
• Fal.AI – For both LoRA model training and Flux image generation
• Cloudinary – For overlaying branded elements (logos, badges, etc.) on top of the generated image

Use Case

This workflow is ideal for generating consistent, on-brand product shots featuring your model(s) with minimal manual input. Great for ecommerce stores, marketing teams, or agencies handling multiple client brands.

The Download Includes:

• The JSON workflow file
• A notes document with links to API docs
• Google Sheets Template

Playing with Heygen for the video too

The post 🔥Branded Product Image Automation Using Fal.AI, Cloudinary & Google Sheets appeared first on SammyAI.

Turn ANY Google Drive folder into an AI-powered knowledge base in minutes!

What if I told you could transform your entire Google Drive into a searchable AI brain that rivals enterprise RAG systems?

THE WOW FACTOR

Watch this: Point it at ANY Google Drive folder → It automatically:

• Recursively scans ALL subfolders and files
• Intelligently processes PDFs, Google Docs, Sheets, even IMAGES
• Creates vector embeddings using OpenAI
• Auto-categorizes everything based on folder structure
• Detects changes and only updates what’s new/modified
• Serves up an AI agent that can answer questions from your data

Result? A fully searchable AI knowledge base that knows EXACTLY where every piece of information came from!

WHAT MAKES THIS SPECIAL

Plug & Play Revolution

• Zero configuration headaches – just update 4 variables and you’re LIVE
• Works with ANY Google Drive structure – your folders become categories automatically
• Drop into any workflow – designed as a reusable sub-workflow

Architecture

• PostgreSQL + pgvector for lightning-fast similarity searches
• Intelligent change detection – only processes what’s actually changed
• Automatic cleanup – removes deleted files from your database
• Folder rename handling – maintains relationships when you reorganize

AI-Powered Content Processing

• Multi-format support: PDFs, Google Docs, Sheets, Images
• GPT-4 Vision extracts text from images and screenshots
• Smart Excel processing converts tables into searchable text
• Maintains source attribution for every piece of information

Hierarchical Organization System

• 4-level categorization automatically built from folder structure
• Parent categories let you connect multiple workflows
• Relationship mapping between documents and categories
• Metadata-rich searches with filtering capabilities

REAL-WORLD USE CASES

Educational Institutions: Transform course materials into AI tutors
Corporate Knowledge: Make company documents instantly searchable
Research Teams: Turn research papers into queryable databases
Consultancies: Create client-specific knowledge bases
Healthcare: Organize medical documents with AI-powered retrieval

GET STARTED IN 5 MINUTES

1. Import the workflow (JSON attached)
2. Update 4 variables in “Set Globals”:
   • Google Drive folder ID
   • Database table names
   • Parent category name
3. Run the setup nodes (creates tables automatically)
4. Execute and watch the magic happen!

Get the Complete Edition

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DOWNLOAD COMPLETE VERSION

The Complete version includes:

• Complete JSON file with full support for PDF and Excel Files
• Support for PDF Image, Diagram and Handwritten text support using Gemini Document Vision
• Support for Tabula Data Schema Support for large CSV and EXCEL files where a single file is storred in multiple embeddings
• AI Agent workflow for single RAG Database
• AI Agent workflow with Multi RAG Database support
  

DOWNLOAD COMPLETE VERSION

Download the Basic Version

The basic version includes

• JSON file for simple RAG Database builder (PDF text only and single page XLS file)
• Installation documentation

The post 🚀 GAME-CHANGER: Google Drive to Vector Database RAG Workflow appeared first on SammyAI.

Prices in USD

Discover how our automated newsletter workflow can transform your marketing in this video tutorial. We’ll walk you through how the system dynamically rotates between general updates, featured products, and special offers, keeping your campaigns fresh and engaging every week. From auto-generating hero images and coupon codes to integrating with WooCommerce and Klaviyo, see how it all works together seamlessly. Let’s dive in!

Key Features

• Full “Man-in-the-Loop” Approval: Every campaign requires review, you can Approve, Cancel, or Request Changes before anything is sent.
• Dynamic Newsletter Workflow: Rotates between general, featured product, and coupon/offer categories for variety (no more stale templates). It works on a 4 week (monthly) rotation with a different newsletter sent out each week.
• Image Generation: Uses Fal’s Flux LoRA for training and generating unique campaign hero images, always on-brand.
• Product Data Scraping: Firecrawl API scrapes Stores product catalog to auto-select and feature different products in campaigns.
• Auto Coupon Code Generation: Instantly creates new, limited-time coupons in WooCommerce for each relevant campaign.
• HTML template creation: HTML template published as Gist to Git for previewing and to Klavio when template is approved.
• GitHub Gist Previews: Newsletter drafts are auto-published as Gist for fast preview, review, and team feedback before approval.

Technical Overview

Firecrawl API:

• Scrapes live product data (name, image, price, link) from WooCommerce.
• Enables random product selection for featured-product mailouts.

Fal.AI API (Flux LoRA):

• Custom-trained image models using your brand’s assets.
• Generates fresh, unique images for every campaign—no repeats.

WooCommerce API:

• Creates single-use coupon codes with expiration (e.g., 2 weeks).
• Syncs codes straight into your online store for instant redemption.

GitHub API (Gist):

• Renders a newsletter preview as a Gist for collaborative review (sent in man in the loop email)

Man in the Loop Approval:

• Email sent asking to Approve, Reject or Request changes
• Change request are sent back AI Agent with memory of previous output and change request

Klaviyo Integration:

• Generate and publish a HTML template
• Sets up and schedules a campaign and associates the template to the campaign

Use Cases

• Completely Hands Free Mode. Set-and-forget weekly campaigns, always fresh, never missed.
• Hybrid Mode. You can continue manually running campaigns and approve workflows only when short on time or if they forgot
• Creativity Mode. You can use it to spark some creativity. Use the ‘Try again’ option in man in the loop to generate alternat versions.

Prices in USD

The post Klaviyo on AutoPilot Workflow appeared first on SammyAI.