This weekend I experimented with a different way to build RAG. Instead of the typical setup: - Generate embeddings - Store in Pinecone / Supabase - Manage vector DB infra - Handle indexing + costs I tested Gemini File Search API directly inside n8n. And honestly… it simplified the entire pipeline. 🔧 What I Actually Built Inside n8n, I used just 4 HTTP requests: 1. Create a file store 2. Upload a document 3. Move the file into the store 4. Query Gemini That’s it. Gemini handled: - Chunking - Embeddings - Indexing - Retrieval No external vector database.No embedding model setup. 💰 Why This Is Interesting - Storage is free - No hourly DB cost - Indexing is $0.15 per 1M tokens For small projects, internal tools, or MVPs — this is extremely cost-efficient. ⚠️ Important Limitations I Noticed This is not magic. - No automatic version control (re-upload = duplicate data) - Chunk-based retrieval struggles with full-document reasoning - OCR works, but messy documents still need preprocessing - Data is processed on Google servers (privacy considerations apply) So architecture thinking still matters. My Take For: - Internal AI assistants - Automation workflows - Startup prototypes - Personal tools This is a powerful alternative to traditional vector DB setups. I wouldn’t blindly replace enterprise-grade systems yet — but for builders, this is very interesting. If anyone here is experimenting with Gemini File Search or building RAG in n8n, I’d love to compare notes 👇 Happy to share the workflow structure if there’s interest.

NEVER manually research prospects again... This AI system replaced a $60K/year SDR. While B2B founders waste 3 hours daily on prospect research... I built an automation that booked me 21 qualified meetings in 10 days. ↳ 3 already closed. $17,490 in new revenue. The capabilities are insane: Scrapes entire websites in 30 seconds Analyzes service pages, case studies, blog posts Generates hyper personalized icebreakers Does 20 minutes of research per prospect automatically I've used this for SaaS companies, marketing agencies, consultants, and B2B service providers. And it costs $0 compared to hiring research assistants or buying expensive data tools. The system handles everything: → Deep prospect research across all website pages → Personalized email openers that get replies → Context that makes cold outreach feel warm → Scales to 100+ prospects per day ↳ My reply rate jumped from 1.2% to 8.3% using this. Want the system? Follow me Like this post 👉 Get this workflow for free — comment “TEMPLATE” and I’ll send it to you. OR 👉 Book a quick call if you want 20+ qualified leads per month, guaranteed, for your business This is for people who want control over their pipeline, not motivation. If that’s you — you’ll know what to do. Stop researching prospects manually. It's 2026.

‎This lead generation automation (built with n8n) captures leads, sends them to Google Sheets, enriches the data, and instantly pushes them into your CRM no manual work needed. ‎Saves time. Respond faster. Close more deals. ‎ ‎If you’re interested in getting custom automation for your business, send me a message. ‎See my portfolio here 👇 ‎👉 https://dera-automations.lovable.app

He's in SEO guest posting — his job is to reach out to website owners, negotiate placements, and build backlinks at scale. The problem? He had a huge list of authors and websites but was stuck using the same email template for everyone, doing it all manually. I built him an automated workflow to handle the outreach, but when I delivered it, he couldn't figure out how to use it. Totally fair — n8n isn't exactly beginner-friendly. So I took it a step further. I built a clean frontend using Google AI Studio and Vercel, and connected it to the n8n workflow running just 4 nodes — Webhook Trigger → Edit Fields → Send Email → Respond to Webhook. Simple, fast, and reliable. Now he has an interface he can actually navigate without my help. The AI personalizes each email based on the author and website. He just uploads his list and hits send. I've attached a quick video walkthrough of how it works, along with two screenshots — the before (raw n8n workflow) and the after (the clean UI he uses now). Have you ever built something for a client or a friend, only to realize the real challenge wasn't building it — it was making it usable? Drop your experience in the comments 👇 #SEO #Automation #AITools #GuestPosting #n8n #GoogleAIStudio #Vercel #BacklinkBuilding #FreelanceProjects #WebDevelopment

I just published a new YouTube video where I show how I turn any link — news, products, blogs, or listings — into ready-to-publish videos using n8n. In the video, you’ll see: - How the automation works - A live demo and final video examples - Ideas on how you can use this system to get more views and move faster than others 👉 The full n8n workflow is available only in the paid community, but this video will give you a clear overview and inspiration. If you’re curious about automating content creation and posting faster, check out the video and let me know what you think.