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Call custom APIs from Azure Logic Apps

Although Logic Apps provides hundreds of connectors for various services, you might want to call APIs that run your own code. One of the easiest and most scalable ways to host your own web APIs is by using Azure App Service. This template deploys a Web app for your custom API and secures that API by using Azure Active Directory authentication.

Find social media accounts by names

This template finds social media account names and updates a row in your Google Sheet effortlessly.

Send scored media monitoring digests from RSS feeds via SMTP email

Quick Overview This workflow runs hourly to read multiple RSS/Atom feeds, applies rule-based topic matching, relevance scoring, sentiment and entity tagging with deduplication, and then sends scored HTML email digests via SMTP (optionally routed per audience) when new matches are found. How it works 1. Runs on an hourly schedule trigger. 2. Loads the monitoring configuration (feed URLs, topic include/exclude rules, scoring weights, sentiment lexicon, entity aliases, and digest recipients). 3. Fe

Send an email from a new contact in Bitrix24

This template regularly checks for new contacts in Bitrix24 and uses the retrieved information to send an email containing the contact details. The template is scheduled to run every 15 minutes. You can change the schedule after you set up the template by clicking the clock icon on the first module.

Send an email via Office 365 Email when a survey is submitted

When a survey is submitted in Survey123, send an email via Office 365 Email to a specified address. You can customize the contents of the email and specify recipients using data from the survey.

Unify multiple triggers into a single workflow

Stop duplicating your work! This template demonstrates a powerful design pattern to handle multiple triggers (e.g., Form, Webhook, Sub-workflow) within a single, unified workflow. By using a "normalize and consolidate" technique, your core logic becomes independent of the trigger that started it, making your automations cleaner, more scalable, and far easier to maintain. Who is this for? n8n developers & architects: Build robust, enterprise-grade workflows that are easy to maintain. Automatio

🤖 Create a Documentation Expert Bot with RAG, Gemini, and Supabase

How it works This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, the official n8n documentation—and then build a chatbot to ask it questions. Think of it like this: instead of a general-knowledge AI, you're building an expert librarian. The workflow is split into two main parts: 1. Part 1: Indexing the Knowledge (Building the Library) This is a one-t

AI Assistant which answers questions with a RAG MCP and a Search Engine MCP

Build an AI Agent which accesses two MCP Servers: a RAG MCP Server and a Search Engine API MCP Server. This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Tutorial Click here to watch the full tutorial on YouTube! How it works We build an AI Agent which has access to two MCP servers: - An MCP Server with a RAG database ([click here for the RAG MCP Server](