768 workflows, ready to run.
Community-built n8n automations, searchable live from the template library. Open one on n8n.io and import the JSON straight into your instance.
Answer Code of Conduct Questions in Slack with GPT-4 & RAG Technology📘 Code of Conduct Q&A Slack Chatbot with RAG Powered
> Empower employees to instantly access and understand the company’s Code of Conduct via a Slack chatbot, powered by Retr…Slack · Google Drive · Code · AI Agent · Embeddings OpenAI0 views
↗Build a PDF Q&A System with LlamaIndex, OpenAI Embeddings & Pinecone Vector DBParse, Normalize, Extract, and Store PDF Content for RAG in Pinecone This workflow automates a full RAG pipeline for structured documents (like insurance policies). What it doe…HTTP Request · Google Drive · Code · Embeddings OpenAI · Recursive Character Text Splitter0 views
↗Query Slack Channel History with Natural Language using OpenAIChat with a Slack channel using AI. This workflow fetches the channel’s message history and lets you ask natural-language questions (“what were the decisions?”, “who’s blocked?”, “…AI Agent · OpenAI Chat Model0 views
↗PDF Proposal Knowledge Base with S3, OpenAI GPT-4o & Qdrant RAG AgentThis template has a two part setup: Ingest PDF files from S3, extract text, chunk, embed with OpenAI embeddings, and index into a Qdrant collection with metadata. Provide a chat en…AWS S3 · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Recursive Character Text Splitter0 views
↗Build a self-updating RAG system with OpenAI, Qdrant and Google DriveThis workflow implements a Retrieval-Augmented Generation (RAG) system that integrates Google Drive and Qdrant. This setup creates a powerful, self-updating knowledge base that pr…HTTP Request · Google Drive · Question and Answer Chain · Embeddings OpenAI · Vector Store Retriever1.4k views
↗AI Customer Support Chat for Web Hosting with Google Gemini & WHMCSThis n8n template implements a Customer Support Chat Agent for Web Hosting Companies with Google Gemini, Google Sheets Knowledge base and WHMCS API to Check Domain Name Availabilit…AI Agent · Simple Memory · Google Gemini Chat Model0 views
↗Search Outlook Emails with Natural Language Queries using GPT-4oThis workflow allows you to search your Outlook mailbox with natural language. You type what you’re looking for (e.g., “invoice from last week”), and the workflow: Uses OpenAI to…Microsoft Outlook · AI Agent · OpenAI Chat Model · Simple Memory · Structured Output Parser0 views
↗Create a Company Policy Chatbot with RAG, Pinecone Vector Database, and OpenAIA RAG Chatbot with n8n and Pinecone Vector Database Retrieval-Augmented Generation (RAG) allows Large Language Models (LLMs) to provide context-aware answers by retrieving infor…Google Drive · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory0 views
↗Customer Support Chatbot with RAG using OpenAI and Pinecone🤖 Simple RAG Customer Support Chatbot 📋 Overview This intelligent customer support chatbot leverages Retrieval-Augmented Generation (RAG) to provide accurate, contextual respon…Google Drive · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory0 views
↗AI Voice & Text Note-Taking with LINE Messaging, Supabase Vector DB & GmailOverview This workflow lets you capture, store, and retrieve notes from LINE chats — both text and voice messages — and automatically send them to your Gmail inbox. By leveraging …HTTP Request · Code · AI Agent · Embeddings OpenAI · OpenAI Chat Model0 views
↗Auto-respond to Slack Messages with GPT and Pinecone Vector RAG Context🛠 GPT-5 + Pinecone-Powered Slack Auto-Responder — Real-Time, Context-Aware Replies for IT & Engineering Teams Description Cut down on context-switching and keep your Slack thread…Slack · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory0 views
↗Generate Business Requirement Documents with Multi-agent GPT & Google WorkspaceMulti-agent RAG system for smarter BRD (Business Requirement Document) writing Who’s it for This workflow is designed for Business Analysts, Project Managers, and Operations Teams…Google Sheets · HTTP Request · Google Drive · SendGrid · Code0 views
↗Optimize Unstructured Data for RAG with Blockify IdeaBlocks TechnologyThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. Blockify® Data Optimization Workflow Blockify Optimizes Data for RAG - Giving…HTTP Request · Google Drive · Code · AI Agent · Embeddings OpenAI0 views
↗Client FAQ Bot with RAG using Google Drive PDFs & Azure GPT-4o-miniDescription: Build your own AI-powered Client FAQ system with Retrieval-Augmented Generation (RAG) — fully automated using n8n, Google Drive, and Azure OpenAI (GPT-4o-mini). This …Google Drive · Basic LLM Chain · Azure OpenAI Chat Model0 views
↗Answer Questions from Documents with RAG using Supabase, OpenAI & Cohere RerankerThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. This comprehensive RAG workflow enables your AI agents to answer user question…Google Drive · Code · AI Agent · Embeddings OpenAI · Supabase Vector Store0 views
↗Build a Retrieval-Based Chatbot with Telegram, OpenAI and Google Drive PDF Backup📚 Telegram RAG Chatbot with PDF Document & Google Drive Backup An upgraded Retrieval-Augmented Generation (RAG) chatbot built in n8n that lets users ask questions via Telegram and…Telegram · Google Drive · Code · AI Agent · Embeddings OpenAI0 views
↗Build Comprehensive Entity Profiles with GPT-4, Wikipedia & Vector DB for ContentThis n8n template demonstrates how to build an intelligent entity research system that automatically discovers, researches, and creates comprehensive profiles for business entities…AI Agent · Basic LLM Chain · OpenAI Chat Model · Structured Output Parser · Character Text Splitter0 views
↗Vision RAG and Image Embeddings using Cohere Command-A and Embed v4Cohere's new multimodal model releases make building your own Vision RAG agents a breeze. If you're new to Multimodal RAG and for the intent of this template, it means to embed and…HTTP Request · AI Agent · Embeddings Cohere · Simple Memory · Code Tool0 views
↗
↗Build a PDF Q&A System with LlamaIndex, OpenAI Embeddings & Pinecone Vector DBParse, Normalize, Extract, and Store PDF Content for RAG in Pinecone This workflow automates a full RAG pipeline for structured documents (like insurance policies). What it doe…HTTP Request · Google Drive · Code · Embeddings OpenAI · Recursive Character Text Splitter0 views
↗Query Slack Channel History with Natural Language using OpenAIChat with a Slack channel using AI. This workflow fetches the channel’s message history and lets you ask natural-language questions (“what were the decisions?”, “who’s blocked?”, “…AI Agent · OpenAI Chat Model0 views
↗PDF Proposal Knowledge Base with S3, OpenAI GPT-4o & Qdrant RAG AgentThis template has a two part setup: Ingest PDF files from S3, extract text, chunk, embed with OpenAI embeddings, and index into a Qdrant collection with metadata. Provide a chat en…AWS S3 · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Recursive Character Text Splitter0 views
↗Build a self-updating RAG system with OpenAI, Qdrant and Google DriveThis workflow implements a Retrieval-Augmented Generation (RAG) system that integrates Google Drive and Qdrant. This setup creates a powerful, self-updating knowledge base that pr…HTTP Request · Google Drive · Question and Answer Chain · Embeddings OpenAI · Vector Store Retriever1.4k views
↗AI Customer Support Chat for Web Hosting with Google Gemini & WHMCSThis n8n template implements a Customer Support Chat Agent for Web Hosting Companies with Google Gemini, Google Sheets Knowledge base and WHMCS API to Check Domain Name Availabilit…AI Agent · Simple Memory · Google Gemini Chat Model0 views
↗Search Outlook Emails with Natural Language Queries using GPT-4oThis workflow allows you to search your Outlook mailbox with natural language. You type what you’re looking for (e.g., “invoice from last week”), and the workflow: Uses OpenAI to…Microsoft Outlook · AI Agent · OpenAI Chat Model · Simple Memory · Structured Output Parser0 views
↗Create a Company Policy Chatbot with RAG, Pinecone Vector Database, and OpenAIA RAG Chatbot with n8n and Pinecone Vector Database Retrieval-Augmented Generation (RAG) allows Large Language Models (LLMs) to provide context-aware answers by retrieving infor…Google Drive · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory0 views
↗Customer Support Chatbot with RAG using OpenAI and Pinecone🤖 Simple RAG Customer Support Chatbot 📋 Overview This intelligent customer support chatbot leverages Retrieval-Augmented Generation (RAG) to provide accurate, contextual respon…Google Drive · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory0 views
↗AI Voice & Text Note-Taking with LINE Messaging, Supabase Vector DB & GmailOverview This workflow lets you capture, store, and retrieve notes from LINE chats — both text and voice messages — and automatically send them to your Gmail inbox. By leveraging …HTTP Request · Code · AI Agent · Embeddings OpenAI · OpenAI Chat Model0 views
↗Auto-respond to Slack Messages with GPT and Pinecone Vector RAG Context🛠 GPT-5 + Pinecone-Powered Slack Auto-Responder — Real-Time, Context-Aware Replies for IT & Engineering Teams Description Cut down on context-switching and keep your Slack thread…Slack · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory0 views
↗Generate Business Requirement Documents with Multi-agent GPT & Google WorkspaceMulti-agent RAG system for smarter BRD (Business Requirement Document) writing Who’s it for This workflow is designed for Business Analysts, Project Managers, and Operations Teams…Google Sheets · HTTP Request · Google Drive · SendGrid · Code0 views
↗Optimize Unstructured Data for RAG with Blockify IdeaBlocks TechnologyThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. Blockify® Data Optimization Workflow Blockify Optimizes Data for RAG - Giving…HTTP Request · Google Drive · Code · AI Agent · Embeddings OpenAI0 views
↗Client FAQ Bot with RAG using Google Drive PDFs & Azure GPT-4o-miniDescription: Build your own AI-powered Client FAQ system with Retrieval-Augmented Generation (RAG) — fully automated using n8n, Google Drive, and Azure OpenAI (GPT-4o-mini). This …Google Drive · Basic LLM Chain · Azure OpenAI Chat Model0 views
↗Answer Questions from Documents with RAG using Supabase, OpenAI & Cohere RerankerThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. This comprehensive RAG workflow enables your AI agents to answer user question…Google Drive · Code · AI Agent · Embeddings OpenAI · Supabase Vector Store0 views
↗Build a Retrieval-Based Chatbot with Telegram, OpenAI and Google Drive PDF Backup📚 Telegram RAG Chatbot with PDF Document & Google Drive Backup An upgraded Retrieval-Augmented Generation (RAG) chatbot built in n8n that lets users ask questions via Telegram and…Telegram · Google Drive · Code · AI Agent · Embeddings OpenAI0 views
↗Build Comprehensive Entity Profiles with GPT-4, Wikipedia & Vector DB for ContentThis n8n template demonstrates how to build an intelligent entity research system that automatically discovers, researches, and creates comprehensive profiles for business entities…AI Agent · Basic LLM Chain · OpenAI Chat Model · Structured Output Parser · Character Text Splitter0 views
↗Vision RAG and Image Embeddings using Cohere Command-A and Embed v4Cohere's new multimodal model releases make building your own Vision RAG agents a breeze. If you're new to Multimodal RAG and for the intent of this template, it means to embed and…HTTP Request · AI Agent · Embeddings Cohere · Simple Memory · Code Tool0 views
↗