180 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.
N8N Documentation Expert Chatbot with OpenAI RAG PipelineHow 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 o…HTTP Request · HTML · AI Agent · Embeddings OpenAI · OpenAI Chat Model183 views
↗Local Chatbot with Retrieval Augmented Generation (RAG)Build a 100% local RAG with n8n, Ollama and Qdrant. This agent uses a semantic database (Qdrant) to answer questions about PDF files. Tutorial Click here to view the YouTube Tuto…AI Agent · Ollama Chat Model · Simple Memory · Recursive Character Text Splitter · Default Data Loader28.7k views
↗RAG Starter Template using Simple Vector Stores, Form trigger and OpenAIThis template quickly shows how to use RAG in n8n. Who is this for? This template is for everyone who wants to start giving knowledge to their Agents through RAG. Requirements Ha…AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Vector Store · Default Data Loader20.3k views
↗RAG Chatbot with Supabase + TogetherAI + Openrouter⚠️ RUN the FIRST WORKFLOW ONLY ONCE (as it will convert your content in Embedding format and save it in DB and is ready for the RAG Chat) 📌 Telegram Trigger Type: telegramTrigg…HTTP Request · Google Docs · Supabase · Code · Basic LLM Chain461 views
↗Build Your First AI Data Analyst ChatbotEnhance your data analysis by connecting an AI Agent to your dataset, using n8n tools. This template teaches you how to build an AI Data Analyst Chatbot that is capable of pulling…HTTP Request · Code · AI Agent · OpenAI Chat Model · Simple Memory133.5k views
↗Build an All-Source Knowledge Assistant with Claude, RAG, Perplexity, and Drive📜 Detailed n8n Workflow Description Main Flow The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: Messag…Google Drive · AI Agent · Embeddings OpenAI · Anthropic Chat Model · Recursive Character Text Splitter176 views
↗Build a RAG-powered AI Assistant with OpenAI, Google Drive & Supabase Vector DBTarget Audience This guide is designed for developers, data scientists, and AI enthusiasts who want to create intelligent chatbots capable of understanding and using custom data. …Google Drive · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Recursive Character Text Splitter26 views
↗Company Knowledge Base Agent (RAG)Overview Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answe…Telegram · Google Drive · Supabase · AI Agent · Embeddings OpenAI86 views
↗Build a PDF-Based RAG System with OpenAI, Pinecone and Cohere RerankingThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow provides a complete, ready-to-use template for a Retrieval-Augme…AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory · Recursive Character Text Splitter51 views
↗Build and Update RAG System with Google Drive, Qdrant, and Gemini ChatThis workflow automates the creation and management of a Retrieval-Augmented Generation (RAG) system using Qdrant as a vector store and Google Drive as the document source. It enab…HTTP Request · Google Drive · Question and Answer Chain · Embeddings OpenAI · Vector Store Retriever2k views
↗Build a Knowledge Base Chatbot with OpenAI, RAG and MongoDB Vector EmbeddingsWho is this for? This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ingestion of produc…Google Docs · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory8.2k views
↗Save Costs In RAG Workflows using the Q&A Tool With Multiple ModelsThis template shows how to use the Question and Answer tool to save costs in RAG use cases. Who is this for? This template is for everyone who wants to start giving knowledge to t…AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Vector Store · Default Data Loader3.8k views
↗🧑⚖️ AI Legal Assistant Agent — AI-Powered Legal Q&A with Document Retrieval🧑⚖️ AI Legal Assistant Agent — AI-Powered Legal Q&A with Document Retrieval Category: LegalTech / AI Agent / RAG / Chatbot Description: This no-code AI agent acts as a legal as…Telegram · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory1.6k views
↗Local Document Question Answering with Ollama AI, Agentic RAG & PGVector🚀 n8n Local AI Agentic RAG Template Author: Jadai kongolo What is this? This template provides an entirely local implementation of an Agentic RAG (Retrieval Augmented Generation…Postgres · AI Agent · OpenAI Chat Model · Recursive Character Text Splitter · Default Data Loader541 views
↗🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with do…Telegram · Google Drive · Google Docs · AI Agent · LangChain Code65.4k views
↗Use skills In n8n agent nodeThis template gives you a framework to use skills in any n8n agent. You can use this as a starting point and add any other tools or patterns needed for your use case. What are “sk…GitHub · AI Agent · Simple Memory · OpenRouter Chat Model15 views
↗Generate Contextual Recommendations from Slack using PineconeThis advanced Retrieval-Augmented Generation (RAG) automation template for n8n enables contextual, real-time recommendations using Slack messages as input. The workflow extracts re…Slack · Google Drive · AI Agent · Auto-fixing Output Parser · Structured Output Parser6 views
↗RAG Chatbot for Company Documents using Google Drive and GeminiThis workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes …Google Drive · AI Agent · Simple Memory · Recursive Character Text Splitter · Pinecone Vector Store94.9k views
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↗Local Chatbot with Retrieval Augmented Generation (RAG)Build a 100% local RAG with n8n, Ollama and Qdrant. This agent uses a semantic database (Qdrant) to answer questions about PDF files. Tutorial Click here to view the YouTube Tuto…AI Agent · Ollama Chat Model · Simple Memory · Recursive Character Text Splitter · Default Data Loader28.7k views
↗RAG Starter Template using Simple Vector Stores, Form trigger and OpenAIThis template quickly shows how to use RAG in n8n. Who is this for? This template is for everyone who wants to start giving knowledge to their Agents through RAG. Requirements Ha…AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Vector Store · Default Data Loader20.3k views
↗RAG Chatbot with Supabase + TogetherAI + Openrouter⚠️ RUN the FIRST WORKFLOW ONLY ONCE (as it will convert your content in Embedding format and save it in DB and is ready for the RAG Chat) 📌 Telegram Trigger Type: telegramTrigg…HTTP Request · Google Docs · Supabase · Code · Basic LLM Chain461 views
↗Build Your First AI Data Analyst ChatbotEnhance your data analysis by connecting an AI Agent to your dataset, using n8n tools. This template teaches you how to build an AI Data Analyst Chatbot that is capable of pulling…HTTP Request · Code · AI Agent · OpenAI Chat Model · Simple Memory133.5k views
↗Build an All-Source Knowledge Assistant with Claude, RAG, Perplexity, and Drive📜 Detailed n8n Workflow Description Main Flow The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: Messag…Google Drive · AI Agent · Embeddings OpenAI · Anthropic Chat Model · Recursive Character Text Splitter176 views
↗Build a RAG-powered AI Assistant with OpenAI, Google Drive & Supabase Vector DBTarget Audience This guide is designed for developers, data scientists, and AI enthusiasts who want to create intelligent chatbots capable of understanding and using custom data. …Google Drive · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Recursive Character Text Splitter26 views
↗Company Knowledge Base Agent (RAG)Overview Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answe…Telegram · Google Drive · Supabase · AI Agent · Embeddings OpenAI86 views
↗Build a PDF-Based RAG System with OpenAI, Pinecone and Cohere RerankingThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow provides a complete, ready-to-use template for a Retrieval-Augme…AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory · Recursive Character Text Splitter51 views
↗Build and Update RAG System with Google Drive, Qdrant, and Gemini ChatThis workflow automates the creation and management of a Retrieval-Augmented Generation (RAG) system using Qdrant as a vector store and Google Drive as the document source. It enab…HTTP Request · Google Drive · Question and Answer Chain · Embeddings OpenAI · Vector Store Retriever2k views
↗Build a Knowledge Base Chatbot with OpenAI, RAG and MongoDB Vector EmbeddingsWho is this for? This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ingestion of produc…Google Docs · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory8.2k views
↗Save Costs In RAG Workflows using the Q&A Tool With Multiple ModelsThis template shows how to use the Question and Answer tool to save costs in RAG use cases. Who is this for? This template is for everyone who wants to start giving knowledge to t…AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Vector Store · Default Data Loader3.8k views
↗🧑⚖️ AI Legal Assistant Agent — AI-Powered Legal Q&A with Document Retrieval🧑⚖️ AI Legal Assistant Agent — AI-Powered Legal Q&A with Document Retrieval Category: LegalTech / AI Agent / RAG / Chatbot Description: This no-code AI agent acts as a legal as…Telegram · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory1.6k views
↗Local Document Question Answering with Ollama AI, Agentic RAG & PGVector🚀 n8n Local AI Agentic RAG Template Author: Jadai kongolo What is this? This template provides an entirely local implementation of an Agentic RAG (Retrieval Augmented Generation…Postgres · AI Agent · OpenAI Chat Model · Recursive Character Text Splitter · Default Data Loader541 views
↗🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with do…Telegram · Google Drive · Google Docs · AI Agent · LangChain Code65.4k views
↗Use skills In n8n agent nodeThis template gives you a framework to use skills in any n8n agent. You can use this as a starting point and add any other tools or patterns needed for your use case. What are “sk…GitHub · AI Agent · Simple Memory · OpenRouter Chat Model15 views
↗Generate Contextual Recommendations from Slack using PineconeThis advanced Retrieval-Augmented Generation (RAG) automation template for n8n enables contextual, real-time recommendations using Slack messages as input. The workflow extracts re…Slack · Google Drive · AI Agent · Auto-fixing Output Parser · Structured Output Parser6 views
↗RAG Chatbot for Company Documents using Google Drive and GeminiThis workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes …Google Drive · AI Agent · Simple Memory · Recursive Character Text Splitter · Pinecone Vector Store94.9k views
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