In this video I walk you through how to use Gemini's new File Search API to take your n8n RAG agents to the next level. This setup is super simple and does not require any coding. You can drop in a document, let Gemini handle all of the indexing and storage for a very cheap price, and start running powerful RAG agents right away. The best part is that you can store your documents for free and then plug your AI agents into the File Search API so they can search through everything. It makes building RAG systems easier than ever before. I also cover a few important things to think about before you start. It is a game changer, but it is not magic. There are a few details that matter for accuracy and performance, and I walk you through those so you know how to get reliable results. COPY THE GOOGLE SHEET HERE

Hey everyone 👋,I saw a question recently about building a complete Etsy automation using n8n, and it’s a great topic because many digital product sellers waste hours doing repetitive uploads and SEO manually. Here’s how I’d set it up 👇 Product CreationUse AI APIs (like OpenAI or Canva API) to auto-generate product descriptions, titles, and even designs. Etsy Upload & SEO OptimizationAutomate uploads through the Etsy API with pre-built SEO templates for tags, titles, and categories — all inside n8n. Auto MarketingOnce the listing is live, n8n pushes your post to Pinterest, X, or Threads automatically using free or low-cost integrations. Order HandlingWhen a customer purchases, n8n sends the file delivery link instantly (via email or Etsy’s API). Analytics & ReportingYou can log every sale, upload, and view into Airtable or Google Sheets for easy performance tracking. This kind of automation can save 10–15 hours weekly and help you scale digital products faster. If anyone here wants to see a demo workflow or architecture map, just DM me — I’ll walk you through how to build one from scratch. — Mercy (n8n | GoHighLevel | Automation Expert)

Hey everyone! I’m offering 50% off my automation services for anyone who refers me to others who might need them. I specialize in: GoHighLevel setups n8n automations Make.com workflows AI Agents (Vapi, chatbots, closebots & more) If you (or someone you know) need help automating workflows or integrating tools, let’s make it happen! DM me or drop a comment 👇

50% OFF for Referrals Hey everyone! I’m offering 50% off my automation services for anyone who refers me to others who might need them. I specialize in: GoHighLevel setups n8n automations Make.com workflows AI Agents (Vapi, chatbots, closebots & more) If you (or someone you know) need help automating workflows or integrating tools, let’s make it happen! Kindly DM me via the WhatSapp contact on my profile.

Built two separate n8n agents: One monitors email. Another handles accounting. Connected them. Now they coordinate automatically - email agent briefs accounting agent with invoice data. THE PROBLEM WITH SINGLE AGENTS: One agent trying to do everything: monitor email, parse documents, check duplicates, post to QuickBooks. Gets confused. Makes errors. Too many tools overload the context. THE MULTI-AGENT SOLUTION: Split responsibilities. Specialized agents. Each does one thing excellently. AGENT 1: EMAIL MONITOR AGENT Role: Watch Gmail, identify invoices, extract data. Tools: Gmail trigger, document parsing tool, confidence scoring. Output: Structured invoice summary with confidence score. Workflow: Receives email → Checks for invoice keywords → Parses PDF attachment → Extracts vendor, amount, date, invoice number → Scores confidence → Passes to router. AGENT 2: ACCOUNTING AGENT Role: Process financial data, post transactions, check duplicates. Tools: QuickBooks API, Google Sheets, duplicate detection database. Output: Posted transaction confirmation, notification. Workflow: Receives invoice summary → Checks for duplicates → Validates data → Posts to QuickBooks → Updates tracking sheet → Sends confirmation. THE COORDINATION LAYER: Router node between agents. Checks confidence score from Email Agent. High confidence (above 0.90): Sends directly to Accounting Agent. Medium confidence (0.75-0.90): Sends with review flag. Low confidence (below 0.75): Human approval required first. DATA PASSING: Email Agent outputs: vendor_name, invoice_amount, due_date, invoice_number, confidence_score, pdf_url Accounting Agent receives: Same structured data, processes automatically or flags for review based on confidence. THE COMPLETE FLOW: Gmail Trigger → Email Agent (with document processing tool) → Confidence Router → Accounting Agent → Post to QuickBooks → Notify THE NUMBERS: - 40 invoices monthly processed - 36 posted automatically (90%) - 4 flagged for review (10%)