š Internal Wiki & Knowledge Base
206 templates ā š AI-powered internal company wikis, knowledge base chatbots, and documentation automation.
š Templates
| Template | Description | š Key Nodes | š Views |
|---|---|---|---|
| š Chat with a database using AI | This workflow allows you to ask questions about data stored in a database using AI. | AI Agent, OpenAI Chat Model, Chat Trigger | 350,748 |
| š„ RAG chatbot for company documents using Google Drive and Gemini | This workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes new or updated doā¦ | Google Drive, Google Drive Trigger, AI Agent, Simple Memory, Recursive Character Text Splitter, Pinecone Vector Store | 349,060 |
| š„ Build your first AI data analyst chatbot | Enhance your data analysis by connecting an AI Agent to your dataset, using n8n tools. | HTTP Request, Execute Workflow Trigger, Filter, AI Agent, OpenAI Chat Model, Simple Memory | 175,630 |
| š„ Ask questions about a PDF using AI | The workflow first populates a Pinecone index with vectors from a Bitcoin whitepaper. Then, it waits for a manual chat message. When received, the chat message is turned into a vector and compared ā¦ | Google Drive, Question and Answer Chain, Binary Input Loader, Embeddings OpenAI, OpenAI Chat Model, Vector Store Retriever | 146,276 |
| Local chatbot with retrieval augmented generation (RAG) | !thumbnail.png | AI Agent, Ollama Chat Model, Simple Memory, Recursive Character Text Splitter, n8n Form Trigger, Default Data Loader | 140,481 |
| RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI | This template quickly shows how to use RAG in n8n. | AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Vector Store, n8n Form Trigger, Default Data Loader | 116,209 |
| š¤ AI powered RAG chatbot for your docs + Google Drive + Gemini + Qdrant | This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Googleās Gemini AI. | Webhook, Telegram, Google Drive, Google Docs, AI Agent, LangChain Code | 86,580 |
| Chat with Postgresql database | This workflow template is designed for any professionals seeking relevent data from database using natural language. | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 85,593 |
| AI agent to chat with files in Supabase Storage | I prepared a detailed guide explaining how to set up and implement this scenario, enabling you to chat with your documents stored in Supabase using n8n. | HTTP Request, Supabase, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter | 80,814 |
| Chat with a Google Sheet using AI | This workflow allows you to ask questions about the data in a Google Sheet over a chat interface. It uses n8nās built-in chat, but could be modified to work with Slack, Teams, WhatsApp, etc. | Google Sheets, Execute Workflow Trigger, Filter, AI Agent, OpenAI Chat Model, Call n8n Workflow Tool | 64,564 |
| Notion knowledge base AI assistant | This workflow is perfect for teams and individuals who manage extensive data in Notion and need a quick, AI-powered way to interact with their databases. If youāre looking to streamline your knowleā¦ | Notion, AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger, HTTP Request Tool | 51,064 |
| Notion AI assistant generator | This n8n workflow template lets teams easily generate a custom AI chat assistant based on the schema of any Notion database. Simply provide the Notion database URL, and the workflow downloads the sā¦ | Notion, AI Agent, Anthropic Chat Model, Auto-fixing Output Parser, Structured Output Parser, Chat Trigger | 50,208 |
| AI chat with any data source (using the n8n workflow tool) | This AI agent can access data provided by another n8n workflow. Since that workflow can be used to retrieve any data from any service, this template can be used give an agent access to any data. | Hacker News, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Call n8n Workflow Tool, Manual Chat Trigger | 44,326 |
| HR & IT helpdesk chatbot with audio transcription | An intelligent chatbot that assists employees by answering common HR or IT questions, supporting both text and audio messages. This unique feature ensures employees can conveniently ask questions vā¦ | HTTP Request, Telegram, Telegram Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 41,702 |
| IT ops AI SlackBot workflow - chat with your knowledge base | !ogimageaiwf14x8 1.png | Slack, Webhook, AI Agent, OpenAI Chat Model, Simple Memory, Call n8n Workflow Tool | 40,988 |
| š¤ Create a Documentation Expert Bot with RAG, Gemini, and Supabase | This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, youāll teach an AI to become an expert on a specific topicāin this caseā¦ | HTTP Request, Execute Sub-workflow, Supabase, Execute Workflow Trigger, Schedule Trigger, Filter | 35,266 |
| Chat with GitHub API documentation: RAG-powered chatbot with Pinecone & OpenAI | This workflow demonstrates a Retrieval Augmented Generation (RAG) chatbot that lets you chat with the GitHub API Specification (documentation) using natural language. Built with n8n, OpenAIās LLMs ā¦ | HTTP Request, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter | 30,129 |
| Use skills In n8n agent node | This 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. | GitHub, Filter, AI Agent, Simple Memory, Chat Trigger, OpenRouter Chat Model | 29,349 |
| Talk to your SQLite database with a LangChain AI Agent š§ š¬ | This n8n workflow demonstrates how to create an agent using LangChain and SQLite. The agent can understand natural language queries and interact with a SQLite database to provide accurate answers. šŖ | HTTP Request, AI Agent, OpenAI Chat Model, Simple Memory, Read/Write Files from Disk, Chat Trigger | 27,156 |
| OpenAI Assistant workflow: upload file, create an Assistant, chat with it! | This is an end-to-end workflow for creating a simple OpenAI Assistant. The whole process is done with n8n nodes and do not require any programming experience. | Google Drive, Chat Trigger, OpenAI | 22,543 |
| Company knowledge base agent (RAG) | 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 answer employee or customer queā¦ | Telegram, Telegram Trigger, Google Drive, Google Drive Trigger, Supabase, AI Agent | 20,688 |
| š¤ Build a Documentation Expert Chatbot with Gemini RAG Pipeline | This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, youāll teach an AI to become an expert on a specific topicāin this caseā¦ | HTTP Request, Execute Sub-workflow, Execute Workflow Trigger, Filter, AI Agent, Simple Memory | 18,835 |
| AI-powered research assistant for platform questions with GPT-4o and MCP | This workflow empowers you to effortlessly get answers to your n8n platform questions through an AI-powered assistant. Simply send your query, and the assistant will search documentation, forum posā¦ | AI Agent, OpenAI Chat Model, Chat Trigger | 18,360 |
| š Confluence page AI chatbot workflow | This n8n workflow template enables users to interact with an AI-powered chatbot designed to retrieve, process, and analyze content from Confluence pages. By leveraging Confluenceās REST API and an ā¦ | HTTP Request, Telegram, Markdown, AI Agent, OpenAI Chat Model, Simple Memory | 16,860 |
| AI agent to chat with Airtable and analyze data | I prepared a detailed guide that shows the entire process of building an AI agent that integrates with Airtable data in n8n. This template covers everything from data preparation to advanced configā¦ | Airtable, HTTP Request, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Simple Memory | 15,831 |
| Build an AI-powered tech radar advisor with SQL DB, RAG, and routing agents | This project is built on top of the famous open source ThoughtWorks Tech Radar. | Cron, Google Sheets, Webhook, Google Drive, MySQL, Execute Sub-workflow | 15,682 |
| š§āāļø Ai legal assistant agent ā AI-powered legal Q&A with document retrieval | š§āāļø AI Legal Assistant Agent ā AI-Powered Legal Q&A with Document Retrieval | Telegram, Telegram Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 14,989 |
| Build a knowledge base chatbot with OpenAI, RAG and MongoDB vector embeddings | This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ingestion of product documentation and enable AI-driveā¦ | Google Docs, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter | 14,877 |
| Upsert huge documents in a vector store with Supabase and Notion | This workflow adds the capability to build a RAG on living data. In this case Notion is used as a Knowledge Base. Whenever a page is updated, the embeddings get upserted in a Supabase Vector Store. | Notion, Notion Trigger, Supabase, Schedule Trigger, Question and Answer Chain, Embeddings OpenAI | 14,248 |
| AI-Powered RAG Document Processing & Chatbot with Google Drive, Supabase, OpenAI | This workflow is perfect for: | Google Drive, Google Drive Trigger, AI Agent, Basic LLM Chain, Embeddings OpenAI, OpenAI Chat Model | 13,845 |
| āØšMulti-AI agent chatbot for Postgres/Supabase DB and QuickCharts + tool router | This workflow is ideal for data analysts, developers, and business intelligence teams who need an AI-powered chatbot to query Postgres/Supabase databases and generate dynamic charts for data visualā¦ | HTTP Request, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Structured Output Parser, Call n8n Workflow Tool | 13,427 |
| š Auto-generate documentation for n8n workflows with GPT and Docsify | This workflow creates a documentation system for n8n instances using Docsify.js. It serves a dynamic documentation website that allows users to: | Webhook, n8n, Basic LLM Chain, OpenAI Chat Model, Auto-fixing Output Parser, Structured Output Parser | 12,657 |
| IT support chatbot with Google Drive, Pinecone & Gemini | AI doc processing | This n8n template empowers IT support teams by automating document ingestion and instant query resolution through a conversational AI. It integrates Google Drive, Pinecone, and a Chat AI agent (usiā¦ | Google Drive, Google Drive Trigger, AI Agent, Recursive Character Text Splitter, Pinecone Vector Store, Extract from File | 12,371 |
| Build a PDF-based RAG system with OpenAI, Pinecone and Cohere reranking | This workflow contains community nodes that are only compatible with the self-hosted version of n8n. | AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter, n8n Form Trigger | 11,520 |
| Save Costs In RAG Workflows using the Q&A Tool With Multiple Models | This template shows how to use the Question and Answer tool to save costs in RAG use cases. | AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Vector Store, n8n Form Trigger, Default Data Loader | 10,760 |
| Build a tax code assistant with Qdrant, Mistral.ai and OpenAI | This n8n workflows builds another example of creating a knowledgebase assistant but demonstrates how a more deliberate and targeted approach to ingesting the data can produce much better results foā¦ | HTTP Request, Execute Workflow Trigger, Filter, AI Agent, OpenAI Chat Model, Simple Memory | 10,653 |
| Local document question answering with Ollama AI, Agentic RAG & PGVector | Author: Jadai kongolo | Postgres, Webhook, Local File Trigger, AI Agent, OpenAI Chat Model, Recursive Character Text Splitter | 10,630 |
| Build an All-Source Knowledge Assistant with Claude, RAG, Perplexity, and Drive | The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: | Google Drive, Execute Workflow Trigger, AI Agent, Embeddings OpenAI, Anthropic Chat Model, Recursive Character Text Splitter | 10,612 |
| Slack AI chatbot for business team with RAG, Claude 3.7 Sonnet and Google Drive | Imagine having an AI chatbot on Slack that seamlessly integrates with your companyās workflow, automating repetitive requests. No more digging through emails or documents to find answers about IT rā¦ | HTTP Request, Slack, Google Drive, AI Agent, Embeddings OpenAI, Anthropic Chat Model | 10,336 |
| AI: Ask questions about any data source (using the n8n workflow retriever) | This template aims to perform Q&A on data retrieved from another n8n workflow. Since that workflow can be used to retrieve any data from any service, this template can be used to ask questions abouā¦ | Question and Answer Chain, OpenAI Chat Model, Workflow Retriever | 10,094 |
| Creating a AI Slack bot with Google Gemini | This is an example of how we can build a slack bot in a few easy steps | Slack, Webhook, AI Agent, Simple Memory, Google Gemini Chat Model | 10,083 |
| RAG chatbot with Supabase + TogetherAI + Openrouter | (as it will convert your content in Embedding format and save it in DB and is ready for the RAG Chat) | HTTP Request, Telegram Trigger, Google Docs, Supabase, Basic LLM Chain, Chat Trigger | 9,927 |
| AI agent to chat with you Search Console data, using OpenAI and Postgres | Edit 19/11/2024: As explained on the workflow, the AI Agent with the original system prompt was not effective when using gpt4-o-mini. | HTTP Request, Webhook, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Call n8n Workflow Tool | 9,562 |
| Ai agent to chat with files in Supabase Storage and Google Drive | I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows. | HTTP Request, Webhook, Google Drive, Stop and Error, Google Drive Trigger, Supabase | 9,397 |
| AI Chatbot Agent with a Panel of Experts using InfraNodus GraphRAG Knowledge | This workflow creates an AI chatbot agent that has access to several knowledge bases at the same time (used as āexpertsā). | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 8,869 |
| Build and update RAG system with Google Drive, Qdrant, and Gemini Chat | This 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 enables full or increā¦ | HTTP Request, Google Drive, Question and Answer Chain, Embeddings OpenAI, Vector Store Retriever, Recursive Character Text Splitter | 8,612 |
| KB tool - Confluence knowledge base | !n8n | HTTP Request, Execute Workflow Trigger | 8,560 |
| š¼ AI powered supply chain control tower with BigQuery and GPT-4o | Tags: Supply Chain, Logistics, Control Tower | Google BigQuery, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Simple Memory, Call n8n Workflow Tool | 8,289 |
| Build a chatbot with Reinforced Learning Human Feedback (RLHF) and RAG | This template is designed for internal support teams, product specialists, and knowledge managers who want to build an AI-powered knowledge assistant with retrieval-augmented generation (RAG) and rā¦ | Telegram, Telegram Trigger, Google Docs, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 7,311 |
| Basic RAG chat | This workflow demonstrates a simple Retrieval-Augmented Generation (RAG) pipeline in n8n, split into two main sections: | Question and Answer Chain, Embeddings Cohere, Vector Store Retriever, Recursive Character Text Splitter, Simple Vector Store, Read/Write Files from Disk | 6,832 |
| AI-powered chatbot workflow with MySQL database integration | This guide shows you how to deploy a chatbot that lets you query your database using natural language. You will build a system that accepts chat messages, retains conversation history, constructs dā¦ | AI Agent, Simple Memory, Chat Trigger, Groq Chat Model | 6,433 |
| Chat with PDF / MD / text files using GraphRAG (no vector store needed) | This templates helps you | HTTP Request, Google Drive, AI Agent, OpenAI Chat Model, Simple Memory, Extract from File | 5,709 |
| Interactive knowledge base chat with Supabase RAG using AI šš¬ | This n8n workflow automates the process of ingesting files from Google Drive into a Supabase database, preparing them for a knowledge base system. It supports text-based files (PDF, DOCX, TXT, etcā¦ | Postgres, Google Drive, Gmail, Google Drive Trigger, Supabase, AI Agent | 5,547 |
| Create Atlassian Confluence page from template | - creates a new page in Confluence based on a page template also defined in Confluence | HTTP Request, Webhook | 5,349 |
| Build & query RAG system with Google Drive, OpenAI GPT-4o-mini, and Pinecone | š What This Workflow Does | Google Drive, Google Drive Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter | 5,268 |
| Automatically document n8n workflows directly in Notion database | n8n workflows can go out of hand when youāre automating as much as we do at n8n. We needed a place to document them and keep track of who owns and maintains them. To facilitate this we use this n8nā¦ | HTTP Request, Notion, n8n, Schedule Trigger | 4,892 |
| Adaptive RAG with Google Gemini & Qdrant: context-aware query answering | Description | Execute Workflow Trigger, AI Agent, Simple Memory, Summarize, Chat Trigger, Qdrant Vector Store | 4,677 |
| Build a RAG system by uploading PDFs to the Google Gemini File Search Store | This workflow implements a Retrieval-Augmented Generation (RAG) system using Google Geminiās File Search API. It allows users to upload files to a dedicated search store and then ask questions abouā¦ | HTTP Request, AI Agent, Simple Memory, n8n Form Trigger, Chat Trigger, Google Gemini Chat Model | 4,255 |
| Create a private document Q&A system with Llama3, Postgres, Qdrant and Google Drive | ā ļø Note: This system only works for self-hosted n8n instances. It will not function on n8n.cloud or other remote setups. | Google Drive, Google Drive Trigger, AI Agent, Ollama Chat Model, Ollama Model, Recursive Character Text Splitter | 4,034 |
| Slack slash commands AI chat bot | This is a response chatbot in public channels through slash commands. I explain more in detail through the YouTube video, but itās only available in Korean. | Slack, Webhook, Basic LLM Chain, OpenAI Chat Model | 3,923 |
| AI agent to chat with Snowflake database | I prepared a detailed guide showcasing the process of building an AI agent that interacts with a Snowflake database using n8n. This setup enables conversational querying, secure execution of SQL quā¦ | Webhook, Snowflake, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Simple Memory | 3,880 |
| Build a document QA system with RAG using Milvus, Cohere, and OpenAI for Google Drive | This template creates a powerful Retrieval Augmented Generation (RAG) AI agent workflow in n8n. It monitors a specified Google Drive folder for new PDF files, extracts their content, generates vectā¦ | Google Drive, Google Drive Trigger, AI Agent, Embeddings Cohere, OpenAI Chat Model, Simple Memory | 3,721 |
| BambooHR AI-powered company policies and benefits chatbot | This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: | BambooHR, Execute Workflow Trigger, Filter, AI Agent, Basic LLM Chain, Embeddings OpenAI | 3,602 |
| Adaptive RAG strategy with query classification & retrieval (Gemini & Qdrant) | This n8n workflow implements a version of the Adaptive Retrieval-Augmented Generation (RAG) framework. It recognizes that the best way to retrieve information often depends on the type of question ā¦ | Execute Workflow Trigger, AI Agent, Simple Memory, Summarize, Chat Trigger, Qdrant Vector Store | 3,458 |
| Build a RAG system with automatic citations using Qdrant, Gemini & OpenAI | This workflow implements a Retrieval-Augmented Generation (RAG) system that: | HTTP Request, Google Drive, Question and Answer Chain, Embeddings OpenAI, Vector Store Retriever, Recursive Character Text Splitter | 3,438 |
| Process documents with recursive chunking using Google Drive, OpenAI & Gemini RAG | 1. Document Ingestion & Processing | Google Drive, Google Drive Trigger, AI Agent, Basic LLM Chain, Embeddings OpenAI, OpenAI Chat Model | 3,431 |
| Automate Document Q&A with Multi-Agent RAG Orchestration using Contextual AI & Gemini | Managing multiple RAG AI agents can be complex when each has its own purpose and vector database. | AI Agent, Simple Memory, n8n Form Trigger, Chat Trigger, Google Gemini Chat Model | 3,275 |
| Build a knowledge base chatbot with Jotform, RAG Supabase, Together AI & Gemini | Youtube Video: https://youtu.be/dEtV7OYuMFQ?si=fOAlZWz4aDuFFovH | HTTP Request, Jotform Trigger, Supabase, AI Agent, Extract from File, Chat Trigger | 3,154 |
| Smarter RAG agents with enriched retrieval and modular workflows | An extendable RAG template to build powerful, explainable AI assistants ā with query understanding, semantic metadata, and support for free-tier tools like Gemini, Gemma and Supabase. | Supabase, Schedule Trigger, AI Agent, Recursive Character Text Splitter, n8n Form Trigger, Supabase Vector Store | 3,147 |
| Create a document in outline for each new GitLab release | Create a document in Outline for each new GitLab release. | HTTP Request, GitLab Trigger | 3,038 |
| Generate BigQuery SQL from natural language queries using GPT-4o chat | Give business users a chat box; get back valid BigQuery SQL and live query results. | Google BigQuery, AI Agent, OpenAI Chat Model, Simple Memory, Structured Output Parser, Chat Trigger | 2,521 |
| Chat with internal documents using Ollama, Supabase Vector DB & Google Drive | - Answers should given only within provided text. | Webhook, Google Drive, Google Drive Trigger, Supabase, AI Agent, Ollama Chat Model | 2,481 |
| AI-powered document chat with Nextcloud files using LangChain and OpenAI | Entry point: A public chat-trigger greets the user; every incoming chat message starts the flow. | Nextcloud, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Simple Memory, Call n8n Workflow Tool | 2,434 |
| RAG-powered document chat with Google Drive, OpenAI, and Pinecone Assistant | This n8n workflow template lets you chat with your Google Drive documents (.docx, .json, .md, .txt, .pdf) using OpenAI and Pinecone Assistant. It retrieves relevant context from your files in real ā¦ | Google Drive, Google Drive Trigger, AI Agent, OpenAI Chat Model, Chat Trigger | 2,406 |
| Create a RAG system with Paul Essays, Milvus, and OpenAI for cited answers | This workflow automates the process of creating a document-based AI retrieval system using Milvus, an open-source vector database. It consists of two main steps: | HTTP Request, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter, Default Data Loader, Chat Trigger | 2,350 |
| Build a RAG agent with n8n, Qdrant & OpenAI | This template helps you to create an intelligent document assistant that can answer questions from uploaded files. | HTTP Request, Google Drive Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 2,256 |
| Document RAG & chat agent: Google Drive to Qdrant with Mistral OCR | This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. | HTTP Request, Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 2,006 |
| Gmail assistant with full Gmail history RAG using OpenAI | > Summary: | Gmail, Gmail Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 2,006 |
| Build a retrieval-based chatbot with Telegram, OpenAI and Google Drive PDF backup | - An upgraded Retrieval-Augmented Generation (RAG) chatbot built in n8n that lets users ask questions via Telegram and receive accurate answers from uploaded PDFs. It embeds documents using OpenAI ā¦ | Telegram, Telegram Trigger, Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 1,984 |
| Document-based AI chatbot with RAG, OpenAI and Cohere reranker | This workflow contains community nodes that are only compatible with the self-hosted version of n8n. | Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Supabase Vector Store | 1,935 |
| Create a self-updating RAG chatbot with Google Drive, Gemini, and Supabase | This template creates a comprehensive, production-ready Retrieval-Augmented Generation (RAG) system. It builds a sophisticated AI agent that can answer questions based on documents stored in a specā¦ | Postgres, Google Drive, Google Drive Trigger, Supabase, Schedule Trigger, AI Agent | 1,915 |
| Documentation Lookup AI Agent using Context7 and Gemini | This n8n workflow template uses community nodes and is only compatible with the self-hosted version of n8n. | Execute Workflow Trigger, AI Agent, Simple Memory, Call n8n Workflow Tool, Google Gemini Chat Model, MCP Server Trigger | 1,900 |
| Answer questions from documents with RAG using Supabase, OpenAI & Cohere reranker | This workflow contains community nodes that are only compatible with the self-hosted version of n8n. | Google Drive, AI Agent, Embeddings OpenAI, Supabase Vector Store, Extract from File, Default Data Loader | 1,672 |
| Pdf RAG agent with Telegram chat & auto-ingestion from Google Drive | This workflow creates an intelligent document assistant called āMookieā that can answer questions based on your uploaded documents. Hereās how it operates: | HTTP Request, Webhook, Telegram, Telegram Trigger, Google Drive, AI Agent | 1,517 |
| Document Q&A system with OpenAI GPT, Pinecone Vector DB & Google Drive integration | This workflow contains community nodes that are only compatible with the self-hosted version of n8n. | Webhook, Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 1,457 |
| Two-stage document retrieval chatbot with OpenAI and Supabase vector search | I prepared a comprehensive guide demonstrating how to build a multi-level retrieval AI agent in n8n that smartly narrows down search results first by file descriptions, then retrieves detailed vectā¦ | HTTP Request, Supabase, Filter, Code Tool, Chat Trigger, OpenAI | 1,413 |
| Build a RAG knowledge chatbot with OpenAI, Google Drive, and Supabase | Create a smart chatbot that answers questions using your Google Drive PDFsāperfect for support, internal docs, education, or research. | Google Drive, Google Drive Trigger, Supabase, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 1,316 |
| Chat with Gemini AI through local CLI via SSH | This workflow allows you to integrate the Google Gemini CLI into your n8n AI Agents. It is designed for self-hosted n8n instances and enables you to chat with the Gemini CLI running on your local mā¦ | SSH, Execute Workflow Trigger, AI Agent, Simple Memory, Call n8n Workflow Tool, Chat Trigger | 1,203 |
| Create a code assistant that learns from your GitHub repository using OpenAI | AI Agent to learn directly from your GitHub repository. | GitHub, HTTP Request, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 1,163 |
| Query PostgreSQL database with natural language using Groq AI chatbot | This guide shows you how to deploy a chatbot that lets you query your PostgreSQL database using natural language. You will build a system that accepts chat messages, retains conversation history, cā¦ | AI Agent, Simple Memory, Chat Trigger, Groq Chat Model | 1,107 |
| Implement on-prem RAG with Qdrant and Ollama for a self-hosted KB | Provides one workflow to maintain the knowledge base and another one to query the knowledge base. | AI Agent, Ollama Chat Model, Simple Memory, n8n Form Trigger, Default Data Loader, Chat Trigger | 1,028 |
| Auto-respond to Slack messages as yourself using GPT and Google Docs RAG | š¬ GPT-5 Slack Impersonation Agent with RAG ā Auto-Respond to Messages Using Live Project Docs | Slack, AI Agent, OpenAI Chat Model, Simple Memory, Slack Trigger | 952 |
| Document Q&A chatbot with Google Drive, GPT-4-mini & Telegram (RAG system) | Description | Telegram, Telegram Trigger, Google Drive, Google Drive Trigger, AI Agent, Embeddings OpenAI | 904 |
| Build a RAG system for PDF documents with Google Drive, Unstructured, and OpenAI | This template monitors a Google Drive folder, converts PDF documents into clean text chunks with Unstructured, generates OpenAI embeddings, and upserts vectors into Pinecone. Itās a practical, prodā¦ | HTTP Request, Google Drive, Google Drive Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 825 |
| Document-based RAG chat assistant with Google Drive, Supabase & OpenAI | This RAG workflow allows you to build a smart chat assistant that can answer user questions based on any collection of documents you provide. It automatically imports and processes files from Googlā¦ | Google Drive, Google Drive Trigger, Supabase, Schedule Trigger, AI Agent, Embeddings OpenAI | 794 |
| Ai-powered degree audit system with Google Sheets and GPT-5 | Run an AI-powered degree audit for each senior student. This template reads student rows from Google Sheets, evaluates completed courses against hard-coded program requirements, and writes back an ā¦ | Google Sheets, AI Agent, OpenAI Chat Model, Structured Output Parser | 787 |
| Build an OpenAI RAG system with document upload, semantic search and caching | This workflow implements a complete Retrieval-Augmented Generation (RAG) system for document ingestion and intelligent querying. | Postgres, Webhook, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter | 778 |
| Turn a YouTube channel into a second brain with Neo4j GraphRAG and GPT-4o-mini | Turn any YouTube channel into a searchable knowledge base. The AI agent understands relationships between videos, topics, tools, and concepts - enabling powerful queries like āWhich videos talk aboā¦ | HTTP Request, AI Agent, Simple Memory, Structured Output Parser, n8n Form Trigger, Chat Trigger | 772 |
| Generate n8n workflows from chat using MCP tools, Claude and Postgres | Describe any automation in plain English. This AI agent builds, | AI Agent, Chat Trigger, Postgres Chat Memory, OpenRouter Chat Model, MCP Client Tool, Chat | 771 |
| Automate meeting notes summaries with Gemini AI & Slack notifications | Easily keep your team aligned by summarizing meeting notes, extracting action items, and delivering them directly to Slack. | HTTP Request, Slack, Schedule Trigger, AI Agent, Google Gemini Chat Model, AI Transform | 752 |
| Build a document-based AI chatbot with Google Drive, Llama 3, and Qdrant RAG | Overview | Google Drive, Google Drive Trigger, AI Agent, Ollama Chat Model, Recursive Character Text Splitter, Default Data Loader | 748 |
| Query business data with OpenAI chatbot using RAG and text-to-SQL via Peliqan | !Peliqan n8n chatbot with RAG and Text-To-SQL | AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter, Supabase Vector Store | 711 |
| Enhance AI chatbot responses with InfraNodus knowledge graph reasoning | In this workflow, we augment the original prompt using the InfraNodus GraphRAG system that will extract a reasoning ontology from a graph that you create (or that you can copy from our repository oā¦ | HTTP Request, Chat Trigger | 699 |
| Build a local RAG chatbot with Ollama, Qwen, BGE-M3 and Postgres PGVector | Build a fully local RAG chatbot using Ollama that works without tool calling ā ideal for smaller open-source models like Qwen that donāt support native function calls. This template lets you run a ā¦ | Webhook, Filter, AI Agent, Basic LLM Chain, Ollama Chat Model, Embeddings Ollama | 693 |
| Build a document QA system with Google Drive, Pinecone, and OpenAI RAG | RAG AI Agent for Documents in Google Drive ā Pinecone ā OpenAI Chat (n8n workflow) | Google Drive, Google Drive Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 651 |
| Build a Google Drive internal knowledge base with OpenAI and Pinecone | Every company has documents sitting in Google Drive that nobody reads. HR policies, sales playbooks, product FAQs, financial guidelines ā all written once, never found again. This workflow turns alā¦ | Google Sheets, Webhook, Google Drive, Gmail, Schedule Trigger, Embeddings OpenAI | 636 |
| Email to Notion knowledge base with IMAP, Postgres dedup and Telegram alert | Filter incoming emails via IMAP, extract & clean the body into plain text, normalize (title/slug/snippet/date/from/url), check for duplicates in Postgres, store as a row in a Notion database, then ā¦ | Email Trigger (IMAP), Postgres, Telegram, Notion | 621 |
| Create a factual learning assistant with RAG, Gemini, Telegram & MongoDB | This template is perfect for educational institutions, coaching centers (like UPSC, GMAT, or specialized technical training), internal corporate knowledge bases, and SaaS companies that need to proā¦ | Telegram, Telegram Trigger, Google Drive, Google Drive Trigger, AI Agent, Simple Memory | 608 |
| Build AI-ready knowledge base from Outlook & Notion using Pinecone & GPT-4 | This n8n template lets you automatically build and maintain an AI-ready knowledge base from Outlook emails and Notion pages. | Microsoft Outlook, Notion, Notion Trigger, AI Agent, Embeddings Cohere, OpenAI Chat Model | 580 |
| AI-powered knowledge assistant using Google Sheets, OpenAI, and Supabase Vector Search | Description | Function, Google Sheets, Google Sheets Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 576 |
| Create an AI Telegram bot using Google Drive, Qdrant, and OpenAI GPT-4.1 | This workflow creates an intelligent Telegram bot with a knowledge base powered by Qdrant vector database. The bot automatically processes documents uploaded to Google Drive, stores them as embeddiā¦ | Telegram, Telegram Trigger, Google Drive, Google Drive Trigger, Filter, AI Agent | 570 |
| Generate AI meeting notes from Zoom with GPT-4, Google Docs & Slack | This workflow automatically captures Zoom meeting data when a meeting ends, generates AI-powered notes, saves them to Google Docs, and instantly posts a summary with a link in Slack. | Slack, Webhook, Google Docs, OpenAI | 541 |
| Process Voice Notes to AI Responses with Claude Sonnet, Nuclino & Slack | This workflow provides a way to capture detailed AI prompts using a voice note transcription service and then passes them on for completion to an AI agent. | HTTP Request, Slack, Webhook, NocoDB, AI Agent, OpenRouter Chat Model | 534 |
| Build a RAG-powered AI assistant with OpenAI, Google Drive & Supabase Vector DB | This guide is designed for developers, data scientists, and AI enthusiasts who want to create intelligent chatbots capable of understanding and using custom data. Whether you are building a researcā¦ | Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter, Supabase Vector Store | 506 |
| Auto-update knowledge base with Drive, LlamaIndex & Azure OpenAI embeddings | This Workflow auto-ingests Google Drive documents, parses them with LlamaIndex, and stores Azure OpenAI embeddings in an in-memory vector storeācutting manual update time from ~30 minutes to under ā¦ | HTTP Request, Google Drive, Google Drive Trigger, Simple Vector Store, Default Data Loader, Embeddings Azure OpenAI | 505 |
| Generate contextual recommendations from Slack using Pinecone | This advanced Retrieval-Augmented Generation (RAG) automation template for n8n enables contextual, real-time recommendations using Slack messages as input. The workflow extracts referenced documentā¦ | Slack, Google Drive, AI Agent, Auto-fixing Output Parser, Structured Output Parser, Pinecone Vector Store | 484 |
| Query business data from Uniconta ERP with OpenAI chatbot via Peliqan | !Peliqan n8n Uniconta AI Agent.png | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 455 |
| Build a document-upload RAG chatbot with OpenAI, Pinecone and daily analytics | This workflow implements a complete Retrieval-Augmented Generation (RAG) knowledge assistant with built-in document ingestion, conversational AI, and automated analytics using n8n, OpenAI, and Pineā¦ | Gmail, Schedule Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory | 450 |
| Chat with documents via RAG: Google Drive to GPT-5 with Supabase vector database | This workflow is your all-in-one pipeline to turn any document into a powerful searchable knowledge base using RAG (Retrieval-Augmented Generation). | Slack, Telegram, Telegram Trigger, Google Drive, Gmail, Google Drive Trigger | 441 |
| Convert Telegram voice messages to Google Docs with Whisper & GPT-4o tagging | This n8n template demonstrates how to automatically convert voice messages from Telegram into structured, searchable notes in Google Docs using AI transcription and intelligent tagging. | Function, Telegram, Telegram Trigger, Google Docs, OpenAI | 434 |
| Build a GLPI knowledge base RAG pipeline with Google Gemini and PostgreSQL | This workflow automates the creation of a Retrieval-Augmented Generation (RAG) pipeline using content from the GLPI Knowledge Base. It retrieves and processes FAQ articles directly via the GLPI APIā¦ | AI Agent, Simple Memory, Chat Trigger, Embeddings Google Gemini, Google Gemini Chat Model, Postgres PGVector Store | 428 |
| Build a RAG chatbot using Google Gemini and a Supabase vector store | Build a custom, intelligent knowledge base in minutes. This n8n workflow provides a complete Retrieval-Augmented Generation (RAG) system using Google Gemini and Supabase. It features a seamless duaā¦ | Stop and Error, AI Agent, Character Text Splitter, n8n Form Trigger, Supabase Vector Store, Default Data Loader | 415 |
| Chat with Google Drive documents using Pinecone and OpenAI RAG | This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone. | HTTP Request, Google Drive, Gmail, Google Drive Trigger, Filter, AI Agent | 411 |
| Query business data from Cin7 ERP with OpenAI chatbot via Peliqan | !Peliqan n8n template Cin7 AI Chatbot.png | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 399 |
| Chat with your PDF documents using PageIndex vectorless RAG via Telegram | This template is built for developers, researchers, and automation builders who want to create a document Q&A system ā without the complexity of vector databases, embeddings, or chunking pipelines. | HTTP Request, Telegram, Telegram Trigger | 388 |
| Chat with Google Drive documents using OpenAI and Pinecone RAG search | This n8n workflow template lets you chat with your Google Drive documents (.docx, .json, .md, .txt, .pdf) using OpenAI and Pinecone vector database. It retrieves relevant context from your files inā¦ | Google Drive, Google Drive Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Character Text Splitter | 379 |
| Find the most relevant workflow templates using RAG, Qdrant and Gemini | This workflow helps users find the most relevant n8n templates using AI. | HTTP Request, AI Agent, Simple Memory, Default Data Loader, Chat Trigger, Qdrant Vector Store | 376 |
| Chat with GitHub issues using OpenAI and Redis vector search | Ever wanted to just ask your repository whatās going on instead of scrolling through endless issue lists? This workflow lets you do exactly that. | HTTP Request, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Redis Chat Memory, Default Data Loader | 372 |
| Create a context-aware Slack assistant with Google Sheets, Pinecone & GPT-4o | This advanced n8n automation template empowers your Slack bot to act as an intelligent assistant: when a user asks a question or requests a suggestion (by mentioning the bot), it automatically retrā¦ | Slack, AI Agent, Auto-fixing Output Parser, Structured Output Parser, Pinecone Vector Store, Embeddings Azure OpenAI | 353 |
| Build enterprise RAG system with Google Gemini file search & retell AI voice | Build a complete enterprise-grade RAG pipeline using Google Geminiās brand-new File Search API, combined with a powerful Retell AI voice agent (JARVIS) as the conversational front end. | Google Sheets, HTTP Request, Webhook, Google Drive, Google Drive Trigger, AI Agent | 345 |
| Create a searchable YouTube educator directory with smart keyword matching | This workflow demonstrates how to use n8n Data Tables to create a searchable database of educational YouTube content. Users can search for videos by topic (e.g., āvoiceā, āscrapingā, ālead genā) anā¦ | Webhook, Data table | 332 |
| Query and answer questions from Excel spreadsheets with GPT-4 Mini | This workflow creates an intelligent chatbot that uses your Microsoft Excel workbooks as a knowledge base. The AI agent can automatically query your Excel spreadsheets to provide accurate, contextuā¦ | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 328 |
| Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone | Use cases | Pinecone Vector Store, OpenAI | 313 |
| Simple scheduling and internal document query bot with Telegram | Template Overview This workflow demonstrates how to build a simple Telegram bot that can schedule events, check service prices, and query company documents using AI integrated with MCP and RAG. Itāā¦ | Telegram, Telegram Trigger, AI Agent, Redis Chat Memory, Google Gemini Chat Model, MCP Client Tool | 312 |
| Starred Slack messages to Notion database with AI auto-tagging | Teams that want to capture important Slack messages in Notion with smart categorization. | Slack, Notion, Schedule Trigger, AI Agent, OpenAI Chat Model, Structured Output Parser | 310 |
| AI prompt hub (Notion + ChatGPT): auto-find the right prompt with embeddings | Build your own AI Prompt Hub inside n8n. | HTTP Request, Webhook, Notion, Notion Trigger, Execute Workflow Trigger, AI Agent | 307 |
| Build a knowledge-based WhatsApp assistant with RAG, Gemini, Supabase & Google Docs | Watch Execution Video | HTTP Request, Google Docs, Supabase, WhatsApp Business Cloud, AI Agent, WhatsApp Trigger | 296 |
| Slack AI ChatBot : context-aware, replies to mentions AND also DMs | Click here to access this Workflow for free. | Slack, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Pinecone Vector Store | 282 |
| Create an AI knowledge base assistant using Ollama, PGVector and Telegram | This workflow automatically converts uploaded documents and text into an AI-powered searchable knowledge base using semantic vector embeddings and Retrieval-Augmented Generation (RAG). Users can upā¦ | Telegram, Telegram Trigger, Question and Answer Chain, Ollama Chat Model, Vector Store Retriever, n8n Form Trigger | 247 |
| Create a RAG Telegram bot using Google Drive, PostgreSQL, and local Ollama | This template is for developers, teams, and automation enthusiasts who want a private, PIN-protected Telegram chatbot that answers questions from their own documents ā without relying on external Aā¦ | HTTP Request, Postgres, Webhook, Telegram, Google Drive, Google Drive Trigger | 231 |
| Create knowledge base from Jira tickets with OpenAI embeddings and Pinecone | This template is a workflow that registers Jira tickets to Pinecone. | Jira Software, Schedule Trigger, Embeddings OpenAI, Pinecone Vector Store, Default Data Loader | 229 |
| Build an internet search chatbot with Firecrawl API | 1. A user sends a query via the chat widget and the Chat Trigger captures the message. | HTTP Request, Webhook, Chat Trigger, Chat | 212 |
| AI-powered company documents Q&A assistant with Google Drive and GPT-4 mini | This workflow is designed for companies looking to onboard new employees and interns efficiently. Itās perfect for HR teams, team leaders, and organizations that want to provide instant access to cā¦ | Webhook, Google Drive, Google Drive Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 212 |
| Build a RAG document chatbot with Supabase vector search and OpenRouter | This workflow builds a Retrieval-Augmented Generation (RAG) document chat assistant inside n8n using Supabase Vector Store and AI models. | Webhook, Google Drive, AI Agent, Recursive Character Text Splitter, Supabase Vector Store, Default Data Loader | 208 |
| Slack auto translator (JA ā EN) with GPT-4o-mini | This workflow enables automatic translation in Slack using n8n and OpenAI. | HTTP Request, Webhook, OpenAI | 204 |
| Build a RAG knowledge base from PDFs with Gemini, Supabase and Google Sheets | This workflow ingests educational PDF URLs from Google Sheets, extracts and chunks their text, generates embeddings with Google Gemini, and stores them in a Supabase pgvector table for retrieval, wā¦ | Google Sheets, HTTP Request, Google Drive, Schedule Trigger, Filter, AI Agent | 190 |
| AI multi-source agent with GPT-4, Perplexity Search, Supabase and Google Sheets | GPT-5 MCP Multi-Source Orchestrator is a next-generation AI agent for n8n that blends the raw intelligence of GPT-5 with the structured power of MCP tools and multi-source data retrieval. | AI Agent, Embeddings OpenAI, OpenAI Chat Model, Supabase Vector Store, Chat Trigger, Postgres Chat Memory | 170 |
| Team knowledge management with Google Docs, Discord, and AI assistant | Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? | Google Docs, Execute Workflow Trigger, AI Agent, OpenAI Chat Model, Call n8n Workflow Tool, MCP Server Trigger | 170 |
| AI chatbot with OpenAI GPT-4.1-Mini and Supabase database knowledge base | This workflow creates an intelligent chatbot that uses your Supabase database as a knowledge base. The AI agent can automatically query your Supabase tables to provide accurate, contextual responseā¦ | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 158 |
| Answer backlog questions from Slack with Supabase, Gemini, and OpenRouter RAG | This workflow indexes a product backlog PDF into a Supabase vector store and lets users query it from Slack using a slash command, with Google Gemini embeddings for retrieval and an OpenRouter chatā¦ | HTTP Request, Webhook, AI Agent, n8n Form Trigger, Supabase Vector Store, Extract from File | 152 |
| Generate PII-safe Helpdocs from Crisp Support chats with GPT-4.1-mini | Automatically create help articles from resolved Crisp chats. This n8n workflow listens for chat events, formats Q&A pairs, and uses an LLM to generate a PIIāsafe helpdoc saved to a Data Table. | Webhook, Basic LLM Chain, OpenAI Chat Model, Data table | 152 |
| Dynamic MongoDB knowledge base chatbot with OpenAI GPT | This workflow creates an intelligent chatbot that uses your MongoDB database as a knowledge base. The AI agent can automatically query your MongoDB collections to provide accurate, contextual respoā¦ | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 132 |
| Turn a GitHub knowledge base into a Telegram RAG bot with Qwen via OpenRouter | This workflow turns a plain JSON file sitting in a GitHub repository into a fully functional Telegram chatbot with | GitHub, Telegram, Telegram Trigger, Basic LLM Chain, OpenAI Chat Model | 122 |
| Create AI FAQ articles from Slack threads into Notion and Zendesk | This workflow helps you capture ātribal knowledgeā shared in Slack conversations and automatically converts it into structured documentation. By simply adding a specific reaction (default: š) to a ā¦ | Slack, Zendesk, Notion, OpenAI, Slack Trigger | 121 |
| Create free Slack Pro alternative with AI summaries & Google Drive archiving | šøš¬ Slack Pro is powerful ā but the price hurts, especially for growing teams. This workflow is designed as a low-cost alternative solution that provides some Slack Pro functions (searchable historyā¦ | Slack, Google Drive, Schedule Trigger, AI Agent, Simple Memory, Convert to File | 117 |
| Ask questions about past meetings using voice with OpenAI and Pinecone | This workflow allows users to ask questions about past meetings using their voice. It converts the voice question into text, searches stored meeting notes using Pinecone, and replies with a spoken ā¦ | Webhook, AI Agent, Embeddings OpenAI, Pinecone Vector Store, OpenAI, Azure OpenAI Chat Model | 115 |
| Build a support knowledge base from historical Gmail emails with OpenAI and PostgreSQL | This workflow automates the process of building a structured Knowledge Base (KB) from your existing Gmail inbox by processing historical email threads, extracting customer-support conversation pairā¦ | Postgres, Gmail, AI Agent, OpenAI Chat Model | 114 |
| Build an SEO chatbot with GPT-4o-mini using your Google Sheets data | Add your approved SEO Q&A pairs to a Google Sheet, activate the workflow, and share the chat URL with your team or clients. The chatbot reads your entire knowledge base on every question and answerā¦ | Google Sheets, AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 103 |
| Turn your portfolio into an AI assistant with OpenAI, Claude, Pinecone and Gmail | Deploy a personal AI assistant that answers recruiter questions about your skills and projects, then automatically emails your CV as a PDF attachment when requested. Upload your portfolio documentsā¦ | Webhook, Google Drive, Gmail, Google Drive Trigger, AI Agent, Embeddings OpenAI | 93 |
| Capture and structure Telegram notes for Obsidian with Groq and GitHub | This workflow captures Telegram voice notes or text messages, uses Groq (Whisper and Llama) to transcribe and structure them, converts the result into an Obsidian-ready Markdown note, commits it inā¦ | HTTP Request, Telegram, Telegram Trigger | 90 |
| Answer document questions with Ollama and Qdrant retrieval chat bot | This workflow provides a local RAG chatbot in n8n that answers chat questions using context retrieved from a Qdrant collection, generating responses with a local Ollama chat model and Ollama embeddā¦ | Question and Answer Chain, Ollama Chat Model, Vector Store Retriever, Chat Trigger, Qdrant Vector Store, Embeddings Ollama | 88 |
| Classify developer questions with GPT-4o from Slack to Notion & Airtable | This workflow automates the Developer Q&A Classification and Documentation process using Slack, Azure OpenAI GPT-4o, Notion, Airtable, and Google Sheets. | Airtable, Google Sheets, Notion, AI Agent, Azure OpenAI Chat Model, Slack Trigger | 86 |
| Index n8n workflows and enable semantic AI search with OpenAI and Supabase | This workflow automatically indexes your n8n workflows every 24 hours, converts them into vector embeddings using OpenAI and stores them in Supabase. It exposes a webhook that lets you query your wā¦ | HTTP Request, Webhook, Supabase, Schedule Trigger, AI Agent, Embeddings OpenAI | 81 |
| Answer infrastructure questions in Mattermost with OpenRouter and Qdrant | AI-powered sub-workflow that answers questions about a your infrastructure configuration directly in a Mattermost channel or thread | Mattermost, Execute Sub-workflow, Execute Workflow Trigger, AI Agent, Qdrant Vector Store, Embeddings Google Gemini | 68 |
| Send customer visit notifications from Google Calendar to Slack and Sheets | This workflow monitors Google Calendar for events indicating that a customer will visit the company today or the next day, retrieves the required details, and sends reminder notifications to the reā¦ | Google Sheets, HTTP Request, Google Drive, Google Calendar, Schedule Trigger, Filter | 63 |
| AI Agent to Chat with Airtable | AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger | 61 | |
| Search Slack for n8n templates with OpenAI tips, Google Sheets cache and weekly analytics | Search n8n workflow templates directly from Slack with AI-powered suggestions. Mention the bot with what you need in English, Spanish or Japanese and get matching templates plus actionable tips to ā¦ | Google Sheets, HTTP Request, Slack, Schedule Trigger, Slack Trigger | 59 |
| Build a company knowledge brain with Google Drive, Cognee, OpenAI, and Slack | This workflow ingests PDFs from Google Drive into a Cognee companybrain dataset and exposes the knowledge graph through a GPT-4o-mini agent that answers questions from the n8n chat UI or Slack, repā¦ | Slack, Google Drive, AI Agent, OpenAI Chat Model, Simple Memory, Extract from File | 58 |
| Chat with Google Docs and Sheets using a Claude AI agent | This workflow opens an n8n chat interface where an AI agent powered by Anthropic Claude answers questions by reading a connected Google Doc and/or Google Sheet on demand, using short-term conversatā¦ | AI Agent, Anthropic Chat Model, Simple Memory, Chat Trigger | 56 |
| Build a Slack knowledge graph with Claude, Neo4j and Google Sheets | This workflow ingests chat messages via a webhook or a 15-minute schedule, filters out low-signal content, uses Anthropic Claude to extract entities and relationships, and stores the resulting knowā¦ | HTTP Request, Webhook, Schedule Trigger, Filter, AI Agent, Anthropic Chat Model | 55 |
| Control AI agent tool access with Port RBAC and Slack mentions | This workflow implements role-based access control for AI agent tools using Port as the single source of truth for permissions. Different users get access to different tools based on their roles, wā¦ | HTTP Request, Slack, AI Agent, LangChain Code, OpenAI Chat Model, Simple Memory | 55 |
| Run a skills-based knowledge chatbot with Google Sheets and GPT-4o-mini | This workflow creates a session-based chatbot in n8n Chat that loads āskillsā from Google Sheets and uses OpenAI GPT-4o-mini to respond strictly according to the matched skillās trigger phrases andā¦ | Google Sheets, AI Agent, OpenAI Chat Model, Simple Memory, Chat Trigger, Chat | 53 |
| Sync a Telegram RAG chatbot with Google Drive using OpenAI and Supabase | This workflow runs a Telegram RAG chatbot that answers questions using PDFs synced from Google Drive into a Supabase vector store, automatically re-indexing when files are added or updated and remoā¦ | Telegram, Telegram Trigger, Google Drive, Google Drive Trigger, Supabase, AI Agent | 50 |
| Connect your Airtable data to your AI (ChatGPT, Claude etc.) with an MCP | MCP Server Trigger | 49 | |
| Answer restaurant voice queries with ElevenLabs, OpenAI, Qdrant, and Google Drive | This workflow rebuilds a Qdrant-based knowledge base from Google Drive documents and then answers ElevenLabs voice-assistant questions using an OpenAI-powered RAG agent with conversation memory, reā¦ | HTTP Request, Webhook, Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 44 |
| Answer HR policy questions in Slack DMs with GPT-4.1, Google Drive and Pinecone | This template gives your HR or operations team an AI-powered Slack bot that answers employee questions about internal policies ā directly in DM, available to everyone in the workspace, with no per-ā¦ | Google Sheets, Slack, Google Drive, Schedule Trigger, AI Agent, Basic LLM Chain | 44 |
| Answer HR policy and benefits questions with BambooHR, OpenAI and Supabase | This workflow ingests company policy PDFs from BambooHR into a Supabase vector database and provides an employee chat interface that answers policy and benefits questions using OpenAI, with an addiā¦ | BambooHR, Execute Workflow Trigger, Filter, AI Agent, Basic LLM Chain, Embeddings OpenAI | 41 |
| Build a multi-tenant RAG search engine with Qdrant and OpenAI GPT-4o | This workflow exposes a POST webhook that authenticates a tenant, embeds the user query with OpenAI, searches tenant-scoped vectors in Qdrant, and uses GPT-4o to return a grounded answer with brackā¦ | HTTP Request, Webhook | 40 |
| Debate and validate chat answers with GPTā5, Claude Sonnet and Claude Opus | Ask a question in chat and get an answer that survived review: one model drafts it, a second challenges it, and a third rules on the result, either approving the answer or replacing it with its ownā¦ | AI Agent, Anthropic Chat Model, OpenAI Chat Model, Chat Trigger, Google Gemini Chat Model | 39 |
| Detect KB gaps and auto-draft articles with GPT-4.1, Slack and Gmail | Support teams, knowledge managers, and ops builders who are drowning in outdated KB articles and repeat tickets. If your team keeps answering the same questions because your knowledge base has gapsā¦ | HTTP Request, Gmail, Schedule Trigger, AI Agent, OpenAI Chat Model | 39 |
| Generate and deploy Notion chat assistants with OpenAI and n8n API | This workflow takes a Notion database URL via n8n Chat, uses Notion and OpenAI to generate a tailored Notion-search chat assistant workflow, validates the generated n8n JSON, and then deploys the nā¦ | HTTP Request, Notion, AI Agent, OpenAI Chat Model, Structured Output Parser, Chat Trigger | 37 |
| Structure gym FAQ data for AI chatbot matching with Google Sheets | Fetches FAQ entries from Google Sheets for a specified gym branch, processes them with keyword extraction and language detection, and returns a structured object optimized for AI chatbot question mā¦ | Google Sheets, Execute Workflow Trigger | 30 |
| Get AI insights from Databox in Slack using OpenAI | Stop switching between Slack and your analytics dashboards. Mention the bot in any Slack channel, ask a business question, and get an AI-powered answer from Databox in seconds - without leaving Slack. | Slack, AI Agent, OpenAI Chat Model, Slack Trigger, MCP Client Tool | 28 |
| Answer Slack knowledge base questions with Notion, Pinecone, and OpenAI | This workflow syncs an internal Notion knowledge base to Pinecone on a daily schedule, then runs a Slack bot that answers questions in a specific channel using Pinecone retrieval and an OpenAI chatā¦ | Slack, Notion, Schedule Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 26 |
| Answer portfolio questions with live profile data, Groq and chat memory | Build a conversational AI chatbot for your personal portfolio that answers | AI Agent, Simple Memory, Chat Trigger, Groq Chat Model | 25 |
| Answer HR and IT policy questions on Telegram with OpenAI and Postgres PGVector | This workflow builds a searchable HR policy knowledge base from a PDF and runs a Telegram helpdesk bot that answers employee questions from that content, handling both text messages and voice notesā¦ | HTTP Request, Telegram, Telegram Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 22 |
| Serve a RAG chat backend for Next.js using OpenAI, Redis, and Pinecone | This workflow exposes a secure webhook API for a Next.js app to run a RAG chat agent using OpenAI, a Pinecone vector store, Redis caching, and Postgres logging, and it optionally calls back into Neā¦ | HTTP Request, Postgres, Redis, Webhook, AI Agent, Embeddings OpenAI | 20 |
| Convert PDFs and Office documents to RAG-ready Markdown with Apify and OpenAI | Paste document links into a form, convert them into Markdown chunks with page numbers using the Apify Document to Markdown Actor, store them with OpenAI embeddings, and chat with an AI agent that aā¦ | HTTP Request, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Simple Vector Store | 17 |
| Chat with a research assistant using Google Gemini, Wikipedia, and Sheets | This workflow provides a chat-based research assistant powered by Google Gemini that can look up facts on Wikipedia, do calculations, and remember context, while also tagging each user question andā¦ | Google Sheets, AI Agent, Basic LLM Chain, Simple Memory, Calculator, Wikipedia | 17 |
| Answer internal policy questions from Google Drive with OpenAI and Qdrant | This workflow keeps a Qdrant knowledge base synced with Google Drive documents and lets users ask questions via n8n Chat or Slack, using OpenAI for embeddings and responses with source citations. | HTTP Request, Slack, Google Drive, Google Drive Trigger, Filter, AI Agent | 15 |
| Answer procurement policy questions with Google Drive, Gemini, and webhooks | This workflow exposes a webhook-based helpbot that answers employee questions using a policy PDF from Google Drive, generates a structured response with Google Gemini, and escalates low-confidence ā¦ | Google Sheets, HTTP Request, Webhook, Extract from File, Google Gemini | 15 |
| Store persistent AI agent memory with Claude, Voyage AI, Postgres, and Redis | This workflow provides persistent AI agent memory by combining Redis session history, PostgreSQL + pgvector long-term storage, Voyage AI embeddings, and Anthropic Claude for chat and memory extractā¦ | HTTP Request, Postgres, Redis, Webhook, Schedule Trigger | 14 |
| Query PostgreSQL from Slack using Google Sheets metadata and Gemini | This workflow lets Slack users ask natural-language questions about a PostgreSQL database, uses Google Sheets metadata plus live schema data to generate and validate a safe read-only SQL query withā¦ | Google Sheets, Postgres, Slack, Slack Trigger, Google Gemini | 10 |
| Answer voice queries from a webhook over Google Drive docs using GPT-4o-mini and Supabase | Placetel AI ā RAG Voice Assistant with Google Drive & Supabase | HTTP Request, Webhook, Google Drive, Schedule Trigger, AI Agent, Embeddings OpenAI | 8 |
| Run a Slack research agent with OpenAI and Apify MCP tools | This workflow listens for Slack @mentions, uses an OpenAI chat model plus Apify web research tools to answer the question with cited sources, and replies in the same Slack thread while keeping shorā¦ | Slack, AI Agent, OpenAI Chat Model, Simple Memory, Slack Trigger, MCP Client Tool | 6 |
| Build a dual-stage RAG chat assistant with Google Drive, Ollama, Pinecone and Gemini | This template builds a dual-stage RAG system that ingests PDFs/text from Google Drive into a Pinecone knowledge-base index with Ollama embeddings, and serves chat queries via a Pinecone semantic caā¦ | Google Drive, Google Drive Trigger, AI Agent, Simple Memory, Pinecone Vector Store, Extract from File | 6 |
| Answer Slack knowledge questions with Notion, Google Drive, Pinecone, and OpenAI | This workflow syncs Notion pages and Google Drive files into a Pinecone vector index nightly, then answers Slack @mentions using an OpenAI chat model with retrieval from that Pinecone knowledge basā¦ | Slack, Google Drive, Notion, Schedule Trigger, AI Agent, Embeddings OpenAI | 4 |
| Run a Telegram knowledge base bot with OpenRouter, OpenAI, Supabase and Redis | This workflow runs a Telegram private knowledge-base bot with admin-approved access, answering text or voice questions using an OpenRouter chat model grounded in a Supabase vector knowledge base, aā¦ | Redis, Telegram, Telegram Trigger, Google Drive, Google Docs, AI Agent | 3 |
| Seed a Supabase AI knowledge base from Notion with Ollama embeddings | This n8n template ingests your entire Notion database into a Supabase vector store, making every page searchable by an AI assistant or chatbot. It runs on a schedule to keep your knowledge base in ā¦ | HTTP Request, Notion, Schedule Trigger, Recursive Character Text Splitter, Supabase Vector Store, Default Data Loader | 3 |
| Answer electronics questions with Google Gemini, SerpAPI, and Supabase | This chat-based workflow uses Google Gemini and a Supabase vector store to answer electronic component questions from indexed PDF datasheets, and when information is missing it searches Google via ā¦ | HTTP Request, Execute Workflow Trigger, AI Agent, Simple Memory, Token Splitter, Call n8n Workflow Tool | 3 |
| Build a RAG knowledge assistant with Google Drive, OpenAI, and Pinecone | This workflow syncs documents from a Google Drive folder into a Pinecone vector index using OpenAI embeddings, then exposes a webhook chat endpoint where an OpenAI-powered agent answers questions bā¦ | Webhook, Google Drive, Google Drive Trigger, AI Agent, Embeddings OpenAI, OpenAI Chat Model | 2 |
| Sync Supabase Storage files into a chat agent with Supabase vectors and OpenAI | This workflow syncs files from Supabase Storage into a Supabase vector store using OpenAI embeddings, then exposes an n8n chat trigger where an AI agent answers questions by retrieving relevant docā¦ | HTTP Request, Supabase, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter | 2 |
| Route IT service catalog requests in Slack with Postgres workflows | This workflow turns Slack into an internal IT service catalog by storing services in Postgres, collecting requests through Slack modals, routing approvals via Slack DMs, and either calling an exterā¦ | HTTP Request, Postgres, Webhook | 1 |
| Audit Notion wiki health and send weekly digests to Slack | This workflow runs every Monday to audit a Notion wiki by crawling page content, building an internal link graph, and scoring pages for orphaned, stale, thin, and unreachable Notion mentions, then ā¦ | Slack, Notion, Schedule Trigger, Filter | 1 |
| Answer HR policy questions in Telegram with Groq, Gemini and Google Drive | This workflow indexes an HR policy PDF from Google Drive into an in-memory vector store using Google Gemini embeddings, then answers employee questions sent via Telegram using a Groq chat model witā¦ | Telegram, Telegram Trigger, Google Drive, AI Agent, Simple Memory, Simple Vector Store | 0 |
| Answer document questions via webhook with Anthropic Claude | This workflow exposes a webhook for document Q&A by chunking pasted docs, retrieving the most relevant sections via keyword scoring, and sending the selected excerpts to Anthropic Claude to generatā¦ | HTTP Request, Webhook | 0 |
š„ How to use: Click any template above, then download the workflow.json file and import it into n8n via Workflow menu ā Import from File. See the importing guide for detailed instructions.