Here is "something" ChatGPT coder did for me to resolve the issue, but to be quite honest I'm not sure much about the technical part on doing it. Not too techy YET. However, actively working my ways around it. Any thoughts? Would love to see a Nate's video in regards to this type of issues (if worth it). Note: I'm currently doing this with Windows PowerShell (Admin Mode). # Docker Setup Guidance for n8n This repository captures quick notes for resolving the `failed to connect to the docker API at npipe:////./pipe/dockerDesktopLinuxEngine` error when trying to pull the `n8nio/n8n` image on Windows, plus a minimal checklist for running n8n on a Linux VPS (e.g., Hostinger). ## Fixing the Docker API error on Windows The error indicates the Docker Engine is not reachable. Common fixes: 1. **Ensure Docker Desktop is installed and running** - Install Docker Desktop for Windows (with WSL 2 backend). - Start Docker Desktop and wait for the whale icon to show “Docker Desktop is running.” 2. **Verify WSL 2 is enabled and updated** ```powershell wsl --list --verbose wsl --update wsl --set-default-version 2 ``` Make sure the default distro is Version 2. 3. **Restart Docker services** (from an elevated PowerShell) ```powershell net stop com.docker.service net start com.docker.service ``` Then reopen PowerShell and run `docker info` to confirm the daemon is reachable. 4. **Switch to the correct engine** - In Docker Desktop, go to **Settings → General** and ensure **Use the WSL 2 based engine** is checked. - If you previously switched to Windows containers, switch back to Linux containers from the Docker Desktop menu. 5. **Test again** ```powershell docker version docker pull n8nio/n8n:latest ``` ## Running n8n on a Linux VPS (e.g., Hostinger) 1. **Install Docker and Docker Compose** ```bash sudo apt update sudo apt install -y ca-certificates curl gnupg sudo install -m 0755 -d /etc/apt/keyrings curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

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