n8n workflows for Chat Trigger.

This workflow implements a multi-model AI orchestration with the BEST models at now (ChatGPT 5.2, Claude Opus 4.6, Gemini 3 Pro) and response aggregation system designed to handle user chat inputs int

This template provides a full end-to-end Retrieval-Augmented Generation (RAG) system using n8n. It includes two connected workflows: A data ingestion pipeline that crawls a website and stores its cont

This template is designed for anyone who wants to integrate MCP with their AI Agents. Whether you're a developer, a data analyst, or an automation enthusiast, if you're looking to leverage the power o

An on-premises, domain-specific AI assistant for Kaggle (tested on binary disaster-tweet classification), combining LLM, an n8n workflow engine, and Qdrant-backed Retrieval-Augmented Generation (RAG).

Chat with your event schedule from Google Sheets in Telegram: "When is the next meetup?" "How many events are there next month?" "Who presented most often?" "Which future meetups have no presenters ye

Categories: AI Agents, Freelance Automation, Proposal Generation

This workflow is ideal for individuals focused on nutrition tracking, meal planning, or diet optimization—whether you’re a health-conscious individual, fitness coach, or developer working on a healtht

> Summary: > This workflow listens for new Gmail messages, extracts and cleans email content, generates embeddings via OpenAI, stores them in a Qdrant vector database, and then enables a Retriev

⚠️ IMPORTANT: This template requires self-hosted n8n hosting due to the use of community nodes (MCP tools). It will not work on n8n Cloud. Make sure you have access to a self-hosted n8n instance befor

This automation sets up an intelligent AI assistant directly connected to your GoHighLevel CRM. Instead of clicking through menus and forms, you can now manage your entire sales pipeline through a sim

The Project starter bot takes the hassle out of launching projects by automatically creating a well-structured folder system in Dropbox and sending timely notifications through Slack and Gmail. By com

This template is designed for creators, founders, and automation builders who publish regularly on LinkedIn and want to analyze their content performance using real data.

Telegram Message Recap. Uses telegramTrigger, supabase, lmChatGoogleGemini, telegram. Event-driven trigger; 23 nodes.

Telegram Webhook. Uses telegram, agent, memoryBufferWindow, chatTrigger. Webhook trigger; 23 nodes.

Creative Director Agent. Uses chatTrigger, agent, memoryBufferWindow, googleDrive. Chat trigger; 23 nodes.

n8n-3-2: c4ai — Local Supabase. Uses httpRequest, xml, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 23 nodes.

n8n-4-2: c4ai — Local Supabase RAG. Uses httpRequest, xml, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 23 nodes.

Agent: Local AI RAG: Ollama & Supabase Vector. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 23 nodes.

This workflow ingests a local PDF into Qdrant with Ollama embeddings, then supports hybrid retrieval by querying Qdrant with both dense vectors and BM25 sparse vectors from an n8n chat trigger. Starts

Dynamically switch between LLMs Template. Uses chatTrigger, noOp, lmChatOpenAi, sentimentAnalysis. Chat trigger; 22 nodes.

Manual Googledrive. Uses manualTrigger, embeddingsOpenAi, stickyNote, documentDefaultDataLoader. Event-driven trigger; 22 nodes.

Summarize YouTube Videos & Chat About Content with GPT-4o-mini via Telegram. Uses splitOut, lmChatOpenAi, chainLlm, summarize. Chat trigger; 22 nodes.

Splitout Limit. Uses lmChatOpenAi, manualTrigger, httpRequest, html. Event-driven trigger; 22 nodes.

Open WebUI Agent with Web Search. Uses memoryPostgresChat, chatTrigger, agent, executeWorkflowTrigger. Chat trigger; 22 nodes.

Local RAG AI Agent with Knowledge Management. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 22 nodes.

This workflow deploys a fully autonomous "AI SEO Agency" inside your n8n instance.

This template turns your PostgreSQL database into an AI-powered analytics assistant.

**This n8n workflow leverages an agentic AI solution, where multiple AI agents collaborate to process and generate tailored job application assets.

Automate B2B lead discovery by identifying high-intent prospects directly from Reddit discussions using AI-powered intent analysis. 🎯🤖 This workflow scans Reddit for conversations related to CRM and m

This example workflow demonstrates a way to connect multiple LLMs to a single AI Agent/LangChain Node and programmatically use one – or in this case loop through them.

This n8n workflow automates the process of summarizing YouTube video transcripts and enables users to interact with the content through AI-powered question answering via Telegram. It leverages the GPT

Who is This For? This is for normal people or people just starting off and wanting to have a AI chatbot that can process data to use when talking to the user.

Ask your PostgreSQL database complex questions and receive clear summaries, charts, and even update or insert data — all through one smart agent powered by n8n’s Model Context Protocol (MCP).

Go beyond basic Retrieval-Augmented Generation (RAG) with this advanced template. While a simple RAG setup can answer straightforward questions, it often fails when faced with complex queries and can

🚨 LinkedIn search is BROKEN.

This cutting-edge n8n workflow is a powerful automation tool designed to revolutionize how businesses and marketers identify and qualify leads directly from YouTube video comments. By leveraging speci

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Create a user for doing Hybrid Search. Clear Existing Data, if present. Add Documents into the table. Create a hybrid index. Run Semantic search on the Documents table for "prioritize teamwork and lea

Build your own AI Prompt Hub inside n8n. This template lets ChatGPT automatically search your saved prompts in Notion using semantic embeddings from HuggingFace. Each time a user sends a message, the

This workflow is an AI-driven crowd previs generation pipeline designed for VFX and layout teams. It converts a natural language crowd brief into structured cinematic crowd simulations, generates mult

N8N Workflow Fixed. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 22 nodes.

Geminis. Uses toolSerpApi, googleGemini, chatTrigger, agent. Event-driven trigger; 22 nodes.

Chat With Pdf. Uses embeddingsOpenAi, documentDefaultDataLoader, googleDrive, chatTrigger. Event-driven trigger; 22 nodes.

o1 - groq. Uses redis, httpRequest, chatTrigger. Chat trigger; 22 nodes.

This workflow ingests PDF cost-engineering manuals from Google Drive into a Pinecone vector index using OpenAI embeddings, then answers user questions via an n8n chat webhook using a retrieval-augment

This chat-driven workflow uses Anthropic Claude to act as a virtual Board of Directors, sending your business idea to five executive agents (CMO, CFO, CPO, COO, and CLO) and then synthesizing their fe

Supabase Insertion Upsertion Retrieval. Uses googleDrive, documentDefaultDataLoader, stickyNote, chainRetrievalQa. Chat trigger; 21 nodes.

Supabase Insertion & Upsertion & Retrieval. Uses googleDrive, documentDefaultDataLoader, stickyNote, chainRetrievalQa. Chat trigger; 21 nodes.

Testing Mulitple Local LLM with LM Studio. Uses stickyNote, httpRequest, chatTrigger, dateTime. Chat trigger; 21 nodes.

Testing Mulitple Local LLM with LM Studio. Uses stickyNote, httpRequest, chatTrigger, dateTime. Chat trigger; 21 nodes.

🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram. Uses chatTrigger, stickyNote, lmChatOpenAi, memoryBufferWindow. Chat trigger; 21 nodes.

🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram. Uses chatTrigger, stickyNote, lmChatOpenAi, memoryBufferWindow. Chat trigger; 21 nodes.

Agent Milvus tool. Uses manualTrigger, httpRequest, html, splitOut. Event-driven trigger; 21 nodes.

Easily Compare LLMs Using OpenAI and Google Sheets. Uses chatTrigger, splitInBatches, memoryBufferWindow, memoryManager. Chat trigger; 21 nodes.

Supabase RAG AI Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 21 nodes.

pix-zap. Uses chatTrigger, agent, toolCalculator, toolWikipedia. Chat trigger; 21 nodes.

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.

This workflow template creates an AI agent chatbot with long-term memory and note storage using Google Docs and Telegram integration.

Want to check out all my flows, follow me on:

📱 Veo3 Instagram Agent – Create & Auto-Post Reels with Blotato

This is a demo workflow to showcase how to use Supabase to embed a document, retrieve information from the vector store via chat and update the database. set your credentials for Supabase set your cre

This workflow enables multimodal file analysis using Google Gemini tools connected to a text-only LLM agent. Users can upload images, videos, audio files, or documents via a chat interface. The workfl

Turn an idea into a finished Instagram Reel—end to end, on autopilot. This template generates a compelling Reel script, sends it to Heygen to produce an AI avatar/clone video, applies dynamic on-video

This workflow is perfect for developers, researchers, and data scientists benchmarking multiple LLMs with LM Studio. It dynamically fetches active models, tests prompts, and tracks metrics like word c

Chat with an AI and ask questions about your Meta Ads metrics.

[](https://youtu.be/D11S0s3PDNc)

Greets & Guides: Welcomes the visitor and collects info step-by-step — Full Name → Email → Mobile → Product Interest. Validates Inputs: Checks email/phone formats; politely re-asks if invalid. De-dupe

Entry point*: A public chat-trigger greets the user; every incoming chat message starts the flow. AI agent*: A LangChain agent (“AI Nextcloud”) uses the configured OpenAI model plus short-term memory

What Problem Does This Solve? 🛠️ This workflow automates the process of extracting information from a Google Doc, storing it in a Pinecone vector database, and using it to personalize and send emails

This workflow creates a RAG (Retrieval-Augmented Generation) system using Milvus vector database to search Paul Graham essays: Scrape & Load: Fetches Paul Graham essays, extracts text, and stores them

The scoring approach is adapted from the open-source evaluations project RAGAS and you can see the source here https://github.com/explodinggradients/ragas/blob/main/ragas/src/ragas/metrics/answersimil

Transform your n8n workflows into OpenAI-compatible API endpoints, allowing you to access multiple workflows as selectable AI models through a single integration.

Enable AI-driven conversations with your PostgreSQL database using a secure and visual-free agent powered by n8n’s Model Context Protocol (MCP). This template allows users to ask multiple KPIs in a si

This template obtains all the possible tools from Bright Data MCP, process this through chatbot, then run any tool based on the user's query

An intelligent content automation system that manages the complete blog content lifecycle, from strategic planning to publish-ready articles. It combines AI-powered research, SEO-optimized writing, an

This workflow creates a fully interactive AI-powered Sales CRM Chatbot inside n8n, capable of understanding user queries, searching Google Sheets for CRM data, and responding intelligently based on re

Use cases are many: Compare costs across different models, plan your AI budget, optimize prompts for cost efficiency, or track expenses for client billing! OpenRouter charges a platform fee on top of

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 dual-f

This comprehensive Retrieval-Augmented Generation (RAG) system enables businesses to effectively manage and query their knowledge base. Users can seamlessly upload documents via a web form, automatica

This workflow turns n8n into a smart, conversational personal assistant. Think of it as a digital manager for your daily work life. It can read your emails, write out message drafts, check when you ar

Runner QA system. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 21 nodes.

ai-fitness-2. Uses googleDrive, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Scheduled trigger; 21 nodes.

Workflow-Rag. Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 21 nodes.

32-notion-ai-assistant-generator. Uses notion, outputParserAutofixing, lmChatAnthropic, outputParserStructured. Chat trigger; 21 nodes.

Code Filter. Uses stickyNote, chatTrigger, lmChatOpenAi, memoryBufferWindow. Chat trigger; 20 nodes.

Manual Code. Uses manualTrigger, stickyNote, vectorStorePinecone, chatTrigger. Event-driven trigger; 20 nodes.

Http Executeworkflow. Uses stickyNote, chatTrigger, agent, lmChatOpenAi. Chat trigger; 20 nodes.

e-mail Chatbot with both semantic and structured RAG, using Telegram and Pgvector. Uses telegramTrigger, splitInBatches, chatTrigger, vectorStorePGVector. Event-driven trigger; 20 nodes.

Personal Assistant MCP server. Uses chatTrigger, lmChatGoogleGemini, memoryBufferWindow, mcpTrigger. Chat trigger; 20 nodes.

RAG AI Agent. Uses lmChatOpenAi, memoryBufferWindow, googleDrive, documentDefaultDataLoader. Webhook trigger; 20 nodes.

Aiden. Uses supabase, chat, memoryBufferWindow, memoryPostgresChat. Chat trigger; 20 nodes.

e-mail Chatbot with both semantic and structured RAG, using Telegram and Pgvector. Uses telegramTrigger, chatTrigger, vectorStorePGVector, toolWorkflow. Event-driven trigger; 20 nodes.

Personal Assistant MCP server. Uses chatTrigger, lmChatGoogleGemini, memoryBufferWindow, mcpTrigger. Chat trigger; 20 nodes.

What this does

⚙️🛠️🚀🤖🦾

Wouldn't it be cool to just tell your computer or phone to "schedule a meeting with Sarah next Tuesday at 3 PM" or "find John Doe's email address" and have it actually do it? That's the dream of a per

Evaluating and comparing responses from multiple LLMs (OpenAI, Claude, Gemini) can be challenging when done manually. Each model produces outputs that differ in clarity, tone, and reasoning structure.

This workflow allows you to ask questions about a PDF document. The answers are provided by an AI model of your choice, and the answer includes a citation pointing to the information it used.

This workflow implements a Retrieval-Augmented Generation (RAG) system using Google Gemini's File Search API. It allows users to upload files to a dedicated search store and then ask questions about t

This workflow allows you to ask questions about the data in a Google Sheet over a chat interface. It uses n8n's built-in chat, but could be modified to work with Slack, Teams, WhatsApp, etc.

This templates helps you ingest your PDF / text / MD documents into a knowledge graph use the graph as the knowledge base for your AI chatbots (and other workflows) visualize the main topics and gaps

Watch the full step-by-step tutorial on YouTube: https://youtu.be/id22R7iBTjo

📌 Overview This workflow automates end-to-end appointment scheduling for your business using an AI-powered chatbot. Clients can book, reschedule, or cancel meetings through a simple chat interface — n

Everyone! Did you dream of asking an AI "what hotel did I stay in for holidays last summer?" or "what were my marks last semester like?".

⚠️ Note: This system only works for self-hosted n8n instances. It will not function on n8n.cloud or other remote setups. LocalRAG.AI is a private, on-prem AI assistant that uses your own documents to

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Automatically sync files from Google Drive into a searchable AI knowledge base with Pinecone, and answer user queries using GPT-4o with conversational memory.

Organizations need AI capabilities while ensuring:

This workflow is perfect for HR teams, recruiters, and hiring platforms that need to automate the extraction of key candidate details—like name, email, skills, and education—from resume files submitte

AI agent with light and basic prompt functions like and for DNS records.

Transform your Jira project management with the power of AI and automation! This n8n workflow template demonstrates how to create a seamless integration between chat interfaces, AI processing, and Jir

Create a smart chatbot that answers questions using your Google Drive PDFs—perfect for support, internal docs, education, or research. n8n instance (cloud or self-hosted) Google Drive account (with PD

The scoring approach is adapted from the open-source evaluations project RAGAS and you can see the source here https://github.com/explodinggradients/ragas/blob/main/ragas/src/ragas/metrics/answerrelev

This comprehensive n8n workflow provides a sophisticated solution for dynamically selecting and using AI models while maintaining GDPR compliance. It leverages Requesty's European-based AI routing ser

This n8n template demonstrates how to turn raw YouTube comments into research-backed content ideas complete with hooks and outlines.

Generate high-quality, SEO-optimized content briefs automatically using AI, real-time keyword research, SERP intelligence, and historical content context. This workflow standardizes user inputs, fetch

The system, named LENOHA (Low Energy, No Hallucination, Leave No One Behind Architecture), uses a high-precision classifier to differentiate between high-stakes queries and casual conversation. Querie

Enhance content quality, SEO performance, and editorial consistency using an AI-powered optimization engine that blends OpenAI, Google Sheets history, Pinecone knowledge, and real-time SERP intelligen

This template provides a high-performance, cost-optimized alternative to standard AI Agents for building RAG (Retrieval-Augmented Generation) chatbots.

Title: Gamify fitness tracking with AI multi-agents and Google Sheets

AI agent that can scrape webpages. Uses chatTrigger, agent, executeWorkflowTrigger, httpRequest. Chat trigger; 20 nodes.

2085. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, executeWorkflowTrigger. Chat trigger; 20 nodes.

n8n_ollama_pgvector. Uses chatTrigger, vectorStorePGVector, embeddingsGoogleGemini, documentDefaultDataLoader. Chat trigger; 20 nodes.

Kangaroo_PS. Uses chatTrigger, postgres, agent, lmChatGoogleGemini. Chat trigger; 20 nodes.

e-mail Chatbot with both semantic and structured RAG, using Telegram and Pgvector. Uses telegramTrigger, chatTrigger, vectorStorePGVector, toolWorkflow. Event-driven trigger; 20 nodes.

Code Noop. Uses informationExtractor, lmChatOpenAi, googleSheets, splitInBatches. Event-driven trigger; 19 nodes.

Chat with Google Sheet. Uses executeWorkflowTrigger, stickyNote, googleSheets, toolWorkflow. Event-driven trigger; 19 nodes.

Make OpenAI Citation for File Retrieval RAG. Uses memoryBufferWindow, stickyNote, chatTrigger, openAi. Chat trigger; 19 nodes.

Visualize Your Sql Agent Queries With Openai And Quickchart.Io. Uses lmChatOpenAi, executeWorkflow, executeWorkflowTrigger, httpRequest. Event-driven trigger; 19 nodes.

Http Stickynote. Uses lmChatOpenAi, executeWorkflow, executeWorkflowTrigger, httpRequest. Event-driven trigger; 19 nodes.

Make OpenAI Citation for File Retrieval RAG. Uses memoryBufferWindow, stickyNote, chatTrigger, openAi. Chat trigger; 19 nodes.

LLM Testing. Uses chatTrigger, toolVectorStore, vectorStorePinecone, embeddingsOpenAi. Chat trigger; 19 nodes.

RAG+URL. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, lmOpenAi. Chat trigger; 19 nodes.

The Recap AI - Whats App Chatbot Agent. Uses formTrigger, agent, lmChatGoogleGemini, toolThink. Event-driven trigger; 19 nodes.

Demo2. Uses chatTrigger, agent, github, formTrigger. Chat trigger; 19 nodes.

n8n2API(No memory). Uses chatTrigger, httpRequest, lmChatOpenAi, agent. Chat trigger; 19 nodes.

Workflow 2559. Uses lmChatOpenAi, executeWorkflowTrigger, httpRequest, chatTrigger. Event-driven trigger; 19 nodes.

Make OpenAI Citation for File Retrieval RAG. Uses memoryBufferWindow, chatTrigger, openAi, httpRequest. Chat trigger; 19 nodes.

2559. Uses lmChatOpenAi, executeWorkflowTrigger, httpRequest, chatTrigger. Event-driven trigger; 19 nodes.

Automatically guide students through personalized learning sessions using AI-powered intent classification, book-based knowledge retrieval (RAG), and full session logging — all without writing a singl

This workflow automates the restaurant POS (Point of Sale) data management process, facilitating seamless order handling, customer tracking, inventory management, and sales reporting. It retrieves ord

This workflow aims to provide data visualization capabilities to a native SQL Agent. Together, they can help foster data analysis and data visualization within a team. It uses the native SQL Agent tha

This workflow is designed for creators who want to maintain an active blog without spending hours writing — while still taking advantage of SEO benefits. It connects OpenAI and WordPress to help you s

🛠️ Read about how multi-domain RAG works and other use cases by working through this tutorial on the n8n Blog here.

In this example, we will ensure that all texts from the OpenAI assistant search for citations and sources in the vector store files. We can also format the output for Markdown or HTML tags.

Though I would recommend just waiting for official support, if you're impatient and would like a round-about way to integrate OpenAI's responses API into your existing AI workflows then this template

Amplify your social media presence with BuzzBlast, an n8n workflow designed to make your content go viral across X, Discord, and LinkedIn. By sending a single chat message, BuzzBlast leverages OpenRou

✨ Intro This workflow shows how to go beyond a “plain” AI chatbot by:

Unlike approaches where you have to authenticate users prior to interacting with the agent, this approach allows guest users to authenticate at any time during the session or not at all.

This workflow builds a free lead generation system that scrapes emails from Google Maps listings and exports them directly into Google Sheets. It’s built in n8n using HTTP requests and JavaScript—no p

AI Agent to learn directly from your GitHub repository. It automatically syncs source files, converts them into vectorized knowledge

This template is an end-to-end demo of a chatbot using business data from multiple sources (e.g. Notion, Chargebee, Hubspot etc.) with RAG + SQL.

This n8n template turns chat questions into structured financial reports using Gemini and posts them to a Discord channel via webhook. Ask about tickers, sectors, or theses (e.g., “NVDA long‑term outl

RAG AI Agent for Documents in Google Drive → Pinecone → OpenAI Chat (n8n workflow)

This n8n workflow showcases a full-featured AI-powered assistant connected to a Shopify store through a custom MCP (Multi-Channel Commerce Platform) Server toolkit. It empowers users to automate compr

Wordpress Post Automation. Uses chatTrigger, chainLlm, lmChatOpenRouter, outputParserStructured. Event-driven trigger; 19 nodes.

n8n_triggers. Uses formTrigger, executeWorkflowTrigger, chatTrigger, errorTrigger. Event-driven trigger; 19 nodes.

ai_chat_agent. Uses agent, lmChatOpenAi, chat, chatTrigger. Chat trigger; 19 nodes.

desafio02_CSV. Uses googleDrive, chatTrigger, compression, supabase. Chat trigger; 19 nodes.

TopSourcer - Finds LinkedIn Profiles using natural language. Uses chatTrigger, stickyNote, googleSheets, httpRequest. Chat trigger; 18 nodes.

RAG Workflow For Company Documents stored in Google Drive. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger

Enhance Chat Responses with Real-Time Search Data via Bright Data & Gemini AI. Uses chatTrigger, agent, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 18 nodes.

Http Executeworkflow. Uses stickyNote, chatTrigger, lmChatOpenAi, memoryBufferWindow. Chat trigger; 18 nodes.

Multi-Agent Conversation. Uses chatTrigger, agent, splitInBatches, memoryBufferWindow. Chat trigger; 18 nodes.

n8n-RAG. Uses chatTrigger, chat, httpRequest. Chat trigger; 18 nodes.

google-drive-rag. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

EJ 7 - RAG (archivo pdf en la web). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

Scrape_business_leads_from_Google_Maps_using_OpenAI_and_Google_Sheets__Use_for_free. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 18 nodes.

cv-elaborator. Uses chatTrigger, executeWorkflowTrigger, agent, lmChatGoogleGemini. Chat trigger; 18 nodes.

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 docum

Engage multiple, uniquely configured AI agents (using different models via OpenRouter) in a single conversation. Trigger specific agents with @mentions or let them all respond. Easily scalable by edit

This workflow builds a virtual finance department inside n8n. At the center is a CFO Agent (O3 model) who acts like a strategic leader. When a financial request comes in, the CFO interprets it, decide

This n8n workflow simulates a full-service creative agency powered by AI. At the center is a Creative Director Agent (O3 model) who takes client requests, plans the creative direction, and delegates w

This multi-agent n8n automation simulates a high-functioning marketing team. A strategic CMO agent receives your chat-based input, decides which specialist is best for the task, and delegates accordin

Complete AI-powered sales department with a Chief Sales Officer (CSO) agent orchestrating specialized sales team members for comprehensive revenue operations and sales automation.

This n8n workflow is a multi-agent LinkedIn content factory. At its heart is the Content Director Agent (O3 model), who acts as the project manager. It listens for LinkedIn chat messages, analyzes the

Complete AI-powered HR department with a Chief Human Resources Officer (CHRO) agent orchestrating specialized HR team members for comprehensive people operations.

This workflow creates a WhatsApp chatbot that answers questions using your own PDFs through RAG (Retrieval-Augmented Generation). Every time you upload a document to Google Drive, it is processed into

Use n8n to bring data from any API to your AI. This workflow uses the Chat Trigger to provide the chat interface, and the Custom n8n Workflow Tool to call a second workflow that calls the API.

User Input: The user pastes a job description or ideal candidate specifications into the workflow. Boolean Search String Generation: OpenAI processes the input and generates a precise LinkedIn Boolean

Many websites lack a smart, searchable interface. Visitors often leave due to unanswered questions. This workflow transforms any website into a Retrieval-Augmented Generation (RAG) chatbot—automatical

Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operation

This workflow simulates a virtual sales & marketing team where each AI agent has a role:

Navigate legal complexities with an AI-powered Chief Legal Officer (CLO) agent orchestrating specialized legal team members for comprehensive legal operations and risk management.

Complete AI-powered customer support department with a Support Director agent orchestrating specialized support team members for comprehensive customer service operations.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

This n8n workflow acts like a virtual social media department. A Social Media Director Agent coordinates multiple specialized AI agents (Instagram, Twitter/X, Facebook, TikTok, YouTube, and Analytics)

🔥 Powered by OpenAI O3 & GPT-4.1-mini Multi-Agent System \#RevOps #n8nWorkflows #AIRevenue #OpenAI #GrowthHacking

Complete AI-powered data analytics department with a Chief Data Officer (CDO) agent orchestrating specialized data team members for comprehensive data science, business intelligence, and analytics ope

This n8n workflow creates an intelligent AI agent that automates browser interactions through Airtop's browser automation platform. The agent can control real browser sessions, navigate websites, inte

Transform your customer success operations with this comprehensive AI-powered workflow featuring a strategic Chief Customer Officer (CCO) agent and six specialized customer success agents. This multi-

Chat to write or reword a blog post. The workflow stores each result in Google Sheets and uses a sub-workflow “Google tool” to count rows per session (your running context). If a session exceeds a row

This n8n workflow creates a complete AI-powered content department. It starts when a chat request is received, then a Content Director Agent (powered by OpenAI O3) analyzes the request and delegates t

Streamline product development with an AI-powered Chief Product Officer (CPO) agent orchestrating specialized product team members for comprehensive product strategy and execution.

Trigger

Use Cases Quickly plan a trip by providing your destination and dates. Get real-time flight and accommodation details for a planned vacation. Receive a summary of your travel plans directly in your in

Tutorial Video

This workflow automates the search and extraction of hotel data from Booking.com. Triggered by a chat message, it uses a combination of web scraping with Bright Data's Web Scraper and AI-powered data

This AI Agent helps you create short links from your original URLs. Each generated short link is automatically stored in a database table for easy management and tracking. Provide a long URL to the Ag

This template monitors a Google Drive folder, converts PDF documents into clean text chunks with Unstructured, generates OpenAI embeddings, and upserts vectors into Pinecone. It’s a practical, product