ETL: Extract and Parse Revit Model Data to Structured Excel

Generate AI-powered markdown posts from workflow JSON with Gemini & LlamaIndex

This AI-powered workflow transforms n8n workflow JSON files into publication-ready, SEO-optimized markdown posts for the n8n community. Simply upload your workflow's JSON, and let Google Gemini 2.5 Pro, guided by a LlamaIndex-powered knowledge base of best practices, automatically generate compelling content. Why Use This Workflow? Time Savings: Reduces the time to create a detailed workflow post from over an hour of manual writing to under 2 minutes. Cost Reduction: Eliminates th

Automated n8n workflow backup to GitHub with deletion tracking

Remixed Backup your workflows to GitHub from Solomon's work. Check out his templates. How it works This workflow will backup your workflows to GitHub. It uses the n8n API node to export all workflows. It then loops over the data, checks in GitHub to see if a file exists that uses the credential's ID. Once checked it will: - update the file on GitHub if it exists; - create a new file if it doesn't exist; - ignore if it's the same. In addition, it also checks if any workflows have been deleted fro

Automate employee onboarding with GPT-4o: Jira, Notion & Gmail integration

Description This workflow automates the employee onboarding process by creating Jira accounts, generating Notion onboarding checklists, crafting AI-generated welcome messages, and sending personalized welcome emails — all automatically. It provides a complete hands-free onboarding experience for HR and IT teams by connecting Jira, Notion, Google Sheets, Gmail, and Azure OpenAI. Failures (like Jira account creation errors) are logged into Google Sheets to ensure full transparency and no mi

Build a voice AI chatbot with ElevenLabs and InfraNodus knowledge experts

Set Up ElevenLabs Voice Chat Agent using Graph RAG Knowledge Graphs as Experts This workflow creates an AI voice chatbot agent that has access to several knowledge bases at the same time (used as "experts"). These knowledge bases are provided using the InfraNodus GraphRAG using the knowledge graphs and providing high-quality responses without the need to set up complex RAG vector store workflows. We use [ElevenLabs](

Conversational Kubernetes management with GPT-4o and MCP integration

This n8n workflow template uses community nodes and is only compatible with the self-hosted version of n8n. Conversational Kubernetes Management with GPT-4o and MCP Integration This workflow enables you to manage Kubernetes clusters conversationally using OpenAI’s GPT-4o and a secure MCP (Model Context Protocol) server. It transforms natural language queries into actionable Kubernetes commands via a lightweight MCP API gateway — perfect for developers and platform engineers seeking to simplify

Auto Update n8n to Latest Version with Coolify

Automatically detect new n8n releases (stable or beta) from GitHub, update Coolify environment variables, and trigger deployments. --- Functionality This workflow automates deployment of n8n releases to a Coolify instance. It supports two tracks: 1. Beta Releases: Checks GitHub every minute for prereleases, filters duplicates, updates the N8NVERSION environment variable, and deploys. 2. Stable Releases (disabled by default): Checks the latest stable release hourly and deploys. Key Features:

Real-time startup intelligence: Crunchbase monitoring with AI summaries & email alerts

Automated monitoring system that tracks startup activities, funding events, and company updates in real-time, providing valuable market intelligence. 🚀 What It Does - Real-time monitoring of startup activities - Funding alerts and updates - Competitor tracking - Industry trend analysis - Customizable watchlists 🎯 Perfect For - Venture capitalists - Startup founders - Business development teams - Market researchers - Investment analysts ⚙️ Key Benefits ✅ Stay ahead of market movements ✅ Never mi

Benchmark LLM performance on legal documents with Google Sheets and OpenRouter

This workflow demonstrates a simple way to run evals on a set of test cases stored in a Google Sheet. The example we are using comes from an info extraction task dataset, where we tested 6 different LLMs on 18 different test cases. This workflow extends the functionality of my simple eval for benchmarking legal tasks here. Rather than running executions sequentially (waiting for each one to respond before making another request), we use parallel processing to fire 2 requests every second. You ca