Featured template
Building Your First WhatsApp Chatbot
Creates an AI-powered WhatsApp chatbot that can interact with users using OpenAI language models and maintain conversation context through memory buffers
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Creates an AI-powered WhatsApp chatbot that can interact with users using OpenAI language models and maintain conversation context through memory buffers
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AI-powered WhatsApp chatbot that uses RAG (Retrieval Augmented Generation) to access business documents and provide intelligent responses to customer queries
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Demonstrates @calcslive/n8n-nodes-calcslive custom node ({{ $env.WEBHOOK_URL }} that brings unit-aware physical quantities (PQ) and calculations to the n8n ecosystem in a composabl
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Automated workflow: Calculate the Centroid of a Set of Vectors. This workflow integrates 6 different services: webhook, stickyNote, code, respondToWebhook, set. It contains 12 node
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Automated workflow: Calendar_scheduling. This workflow integrates 15 different services: stickyNote, itemLists, filter, gmailTrigger, agent. It contains 24 nodes and follows best p
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Automated workflow: Calendlytrigger Workflow. This workflow processes data and performs automated tasks.
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Automated workflow: Capture Website Screenshots with Bright Data Web Unlocker and Save to Disk. This workflow integrates 6 different services: stickyNote, httpRequest, readWriteFil
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Automation workflow with 0 steps covering various services.
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Automated workflow: CFP Selection 2. This workflow processes data and performs automated tasks.
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Automated workflow: Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI). This workflow integrates 13 different services: stickyNote, httpRequest, vectorStorePine
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Automated workflow: Chat with Google Sheet. This workflow integrates 12 different services: stickyNote, filter, code, agent, switch. It contains 21 nodes and follows best practices
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Enables local AI chatbot interactions using Ollama and n8n, allowing businesses to run conversational AI without relying on cloud services or exposing sensitive data.