n8n workflows for Chat Trigger.

✨🩷Automated Social Media Content Publishing Factory + System Prompt Composition. Uses chatTrigger, stickyNote, toolWorkflow, memoryBufferWindow. Chat trigger; 100 nodes.

This workflow is designed for content creators, social media managers, and marketing teams who need to efficiently create and publish content across multiple social media platforms. It's perfect for b

⚠️ DISCLAIMER: This workflow uses the AnySite LinkedIn community node, which is only available on self-hosted n8n instances. It will not work on n8n.cloud.

This n8n template demonstrates how to automatically process PDF purchase orders received via email and convert them into sales orders in Adobe Commerce (Magento 2) using Company Credit as the payment

HDW Lead Geländewagen. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, outputParserStructured. Chat trigger; 92 nodes.

WooriFisa. Uses agent, httpRequest, documentDefaultDataLoader, vectorStorePinecone. Scheduled trigger; 86 nodes.

This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowle

Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.

AI Agent Workflow. Uses telegramTrigger, chatTrigger, telegram, openAi. Event-driven trigger; 82 nodes.

💰 Beginner Investor – Learn the market faster with AI-powered insights guiding your decisions. 📈 Retail Trader – Optimize your trading strategy with in-depth analysis typically reserved for profession

My Workflow. Uses outputParserStructured, httpRequest, lmChatGoogleGemini, chainLlm. Scheduled trigger; 82 nodes.

My workflow 7. Uses openAi, redis, httpRequest, agent. Webhook trigger; 77 nodes.

My workflow 7. Uses openAi, redis, httpRequest, agent. Webhook trigger; 77 nodes.

This comprehensive workflow automates the complete financial document processing pipeline using AI. Upload invoices via chat, drop expense receipts into a folder, or add bank statements - the system a

• Create a Google Drive folder to watch. • Connect your Google Drive account in n8n and authorize access. • Point the Google Drive Trigger node to this folder (new/modified files trigger the flow).

This intelligent chatbot leverages cutting-edge financial APIs and AI-driven analysis to deliver comprehensive stock research reports. Get instant access to professional-grade investment analysis that

This workflow is built for creators, solopreneurs, SaaS founders, and agencies looking to automate their social media content process from idea to publication. It combines the power of OpenAI, Google

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Agent Nodes. Uses lmChatOpenAi, slack, stopAndError, errorTrigger. Event-driven trigger; 72 nodes.

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Enhance your support, onboarding, and internal knowledge workflows with an intelligent RAG-powered chatbot that responds using live data stored in Google Sheets. 🤖📚 Built for teams that rely on struct

What Native n8n chat-operated AI employee for a single wellness SaaS brand Handles three intents: send campaign, report campaign, reactivate cold subscribers

WooriFisa 최종. Uses memoryMongoDbChat, agent, httpRequest, documentDefaultDataLoader. Scheduled trigger; 68 nodes.

This template is ideal for B2B founders, solopreneurs, growth marketers, SDRs, or anyone looking to scale their lead generation and enrichment with no-code tools to low-code tools.

1_4_Core_Node. Uses stopAndError, compression, xml, crypto. Event-driven trigger; 63 nodes.

This template attempts to create an AI-powered content assistant for WordPress sites using Mistral AI, enabling article recommendations, content summarization, and contextual Q&A capabilities.

Chat with docs - 5minAI New version. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 62 nodes.

I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows.

Forscher_Workflow. Uses chatTrigger, chainLlm, lmChatOpenAi, toolWorkflow. Chat trigger; 61 nodes.

router-agent. Uses chatTrigger, agent, lmChatOpenAi, executeWorkflow. Chat trigger; 59 nodes.

This workflow automates multi-channel AI-driven sales engagement for lead qualification, service information delivery, and consultation booking. It integrates WhatsApp, Facebook Messenger, Instagram D

Build your own Klue/Crayon alternative: Auto-generate comprehensive competitive battlecards with AI research agents for ~$50/month instead of $1,500+

Automate Google Classroom via the Google Classroom API to efficiently manage courses, topics, teachers, students, announcements, and coursework.

✨🩷Automated Social Media Content Publishing Factory + System Prompt Composition. Uses chatTrigger, stickyNote, toolWorkflow, memoryBufferWindow. Chat trigger; 56 nodes.

YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.

RAG AI Agent Template V5. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 56 nodes.

Final. Uses chatTrigger, agent, n8n-nodes-upstage, httpRequest. Chat trigger; 55 nodes.

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Unleash the full potential of your HighLevel CRM by adding an intelligent GPT-5 Agent that does more than just follow commands — it understands context, retrieves the right data, and executes actions

Lection 9 main. Uses formTrigger, chatTrigger, agent, lmChatOpenAi. Event-driven trigger; 55 nodes.

Catat Keuangan Keluarga. Uses chatTrigger, agent, lmChatGoogleGemini, outputParserStructured. Webhook trigger; 55 nodes.

by Varritech Technologies

This workflow was born out of a very real problem.

Extracting URLs from multiple XML sitemaps manually is tedious, and combining them into a single usable file is time-consuming. This workflow solves this by acting as an automated bulk extractor. You

My workflow 2529. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 54 nodes.

05. Base_To_Copy. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 54 nodes.

Iroko-chatbot-green-API. Uses toolCalculator, agent, n8n-nodes-whatsapp-green-api, chatTrigger. Webhook trigger; 54 nodes.

Wordpress Ai Chatbot To Enhance User Experience With Supabase And Openai. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

On my never-ending quest to find the best embeddings model, I was intrigued to come across Voyage-Context-3 by MongoDB and was excited to give it a try.

The original LLM Council concept was introduced by Andrej Karpathy and published as an open-source repository demonstrating multi-model consensus and ranking. This workflow is my adaptation of that or

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. Uses documentDefaultDataLoader, textSplitterTokenSplitter, vectorStoreQdrant, splitInBatches. Event-driven trigger; 50 nodes.

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

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 Google's Gemini AI.

Who’s it for Creators who want to create faceless videos automatically, while keeping human oversight and quality control.

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI

This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo

This workflow is designed for e-commerce, marketing teams, or creators who want to automate the production of high-quality, AI-generated product visuals and ad creatives.

Agente_RAG. Uses supabase, embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Chat trigger; 50 nodes.

The Best Linkedin Posting System. Uses httpRequest, lmChatOpenAi, agent, chatTrigger. Chat trigger; 49 nodes.

Reranks #1. Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 48 nodes.

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

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

This workflow implements an AI-powered WhatsApp booking assistant for a hair salon. The system allows customers to book, reschedule, or cancel appointments automatically via text or voice messages on

Community Node Disclaimer: This workflow uses KlickTipp community nodes.

Code-Orch_Agent. Uses chatTrigger, lmChatOpenAi, memoryPostgresChat, toolWorkflow. Chat trigger; 47 nodes.

Splitout Redis. Uses executeWorkflowTrigger, n8n, redis, splitOut. Event-driven trigger; 46 nodes.

3770. Uses executeWorkflowTrigger, n8n, redis, agent. Event-driven trigger; 46 nodes.

Designing agent tools for outcome rather than utility has been a long recommended practice of mine and it applies well when it comes to building MCP servers; In gist, agents to be making the least amo

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, etc.) a

Workflow 3770. Uses executeWorkflowTrigger, n8n, redis, agent. Event-driven trigger; 46 nodes.

Build your own N8N Workflows MCP Server. Uses executeWorkflowTrigger, n8n, redis, agent. Event-driven trigger; 46 nodes.

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 specifi

Chat with a Gemini-powered operations assistant to create and update Notion tasks, send emails via Gmail, and pull live project summaries — all from a single chat interface. Daily and weekly status re

Who is this workflow for? This workflow is designed for SEO analysts, content creators, marketing agencies, and developers who need to index a website and then interact with its content as if it were

use cases: research stock market in Indonesia. analyze the performance of companies belonging to certain subsectors or company comparing financial metrics between BBCA and BBRI providing technical ana

This workflow accepts up to 10 URLs via chat input, executes the Google PageSpeed Insights API, and outputs a CSV file containing page performance metrics for SEO audits.

agent_edit_image. Uses googleDrive, googleGemini, googleSheets, chatTrigger. Chat trigger; 44 nodes.

Analyze up to 100 URLs in one run and export key on-page SEO data to CSV automatically.

YT Processing UPDATED. Uses googleSheets, youTube, httpRequest, googleDrive. Event-driven trigger; 44 nodes.

🔥📈🤖 AI Agent for n8n Creators Leaderboard - Find Popular Workflows. Uses httpRequest, limit, lmChatOpenAi, executeWorkflowTrigger. Event-driven trigger; 43 nodes.

🔥📈🤖 AI Agent for n8n Creators Leaderboard - Find Popular Workflows. Uses httpRequest, limit, lmChatOpenAi, executeWorkflowTrigger. Event-driven trigger; 43 nodes.

Dynamic Models. Uses lmChatOpenRouter, agent, gmailTool, airtableTool. Event-driven trigger; 43 nodes.

Credentials-Setup. Uses twitter, reddit, googleDocs, googleDrive. Event-driven trigger; 43 nodes.

The n8n Creators Leaderboard Workflow is a powerful tool for analyzing and presenting detailed statistics about workflow creators and their contributions within the n8n community. It provides users wi

This workflow transforms WhatsApp into a powerful personal AI using n8n + Green-API. Send text or voice messages — the assistant understands intent and handles daily tasks automatically. 💰 Expense & i

Airtable AI Agent. Uses lmChatOpenAi, agent, toolWorkflow, toolCode. Chat trigger; 42 nodes.

Ultimate Agentic RAG AI Agent Template. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, stickyNote. Event-driven trigger; 42 nodes.

Agente AI RAG. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 42 nodes.

Aggregate Http. Uses lmChatOpenAi, agent, stickyNote, memoryBufferWindow. Chat trigger; 41 nodes.

Ai Agent To Chat With Airtable And Analyze Data. Uses lmChatOpenAi, agent, stickyNote, memoryBufferWindow. Chat trigger; 41 nodes.

V3 Local Agentic RAG AI Agent. Uses documentDefaultDataLoader, memoryPostgresChat, chatTrigger, agent. Webhook trigger; 41 nodes.

Author: Jadai kongolo

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 configura

Collects cybersecurity news from trusted RSS feeds and uses OpenAI’s Retrieval-Augmented Generation (RAG) capabilities with Pinecone to filter for content that is directly relevant to your organizatio

This n8n workflow is designed for WooCommerce store owners and e-commerce managers who want to automate their store operations through an intelligent AI assistant. The workflow creates a conversationa

Homerag. Uses documentDefaultDataLoader, memoryPostgresChat, chatTrigger, agent. Webhook trigger; 41 nodes.

Ai-Powered Woocommerce Support-Agent. Uses stickyNote, splitOut, memoryBufferWindow, executeWorkflowTrigger. Event-driven trigger; 40 nodes.

✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router. Uses chatTrigger, postgresTool, executeWorkflowTrigger, toolWorkflow. Chat trigger; 40 nodes.

Splitout. Uses stickyNote, splitOut, memoryBufferWindow, executeWorkflowTrigger. Event-driven trigger; 40 nodes.

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 visualiza

The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: Message Trigger: The node triggers whenever a user message arrives and passe

Unlock adaptive, context-aware AI chat in your automations—no coding required!

It acts as a powerful scraping agent that takes a simple chat query, scours both Google Search and Google Maps for relevant businesses, scrapes their websites for contact details, and compiles an enri

With this workflow you get a fully automated AI powered Support-Agent for your WooCommerce webshop. It allows customers to request information about things like: the status of their order the ordered

Description This workflow automatically classifies user queries and retrieves the most relevant information based on the query type. 🌟 It uses adaptive strategies like; Factual, Analytical, Opinion, a

Categories: AI Agents, Design Automation, Business Tools

This workflow builds a dual-system that connects automated document ingestion with a live product catalog chatbot powered by Mistral AI and Supabase.

Template was created in n8n v1.90.2 Execute Sub-workflow Trigger node Chat Trigger node Redis node Postgres node AI Agent node If node, Switch node, Code node, Edit Fields (Set) Execute Sub-workflow T

2161. Uses memoryBufferWindow, executeWorkflowTrigger, wooCommerce, httpRequest. Event-driven trigger; 40 nodes.

Workflow 2161. Uses memoryBufferWindow, executeWorkflowTrigger, wooCommerce, httpRequest. Event-driven trigger; 40 nodes.

Build an All-Source Knowledge Assistant with Claude, RAG, Perplexity, and Drive. Uses chatTrigger, memoryPostgresChat, embeddingsOpenAi, rerankerCohere. Chat trigger; 40 nodes.

updated!. Uses lmChatGoogleGemini, agent, memoryBufferWindow, httpRequest. Webhook trigger; 40 nodes.

Advanced Ai Demo Presented At Ai Developers 14 Meetup. Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Advanced Ai Demo (Presented At Ai Developers #14 Meetup). Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Adaptive RAG. Uses agent, chatTrigger, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 39 nodes.

🧠 Give Your AI Agent Chatbot Long Term Memory Tools Router. Uses executeWorkflowTrigger, googleDocs, telegram, gmail. Event-driven trigger; 39 nodes.

Workflow 2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

This n8n workflow equips your AI agent with long-term memory and a dynamic tools router, enabling it to provide intelligent, context-aware responses while managing tasks across multiple tools. By comb

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node,

This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. It’s composed of two distinct flows: An ingestion pipeline to proce

🧠 Who is this for? Startup founders designing creative growth strategies Marketing teams seeking low-cost, high-impact campaigns Consultants and agencies needing fast guerrilla plans Creators explorin

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 ask

📺 Full walkthrough video: https://youtu.be/r5kN_la0O7I

The Full Blogging Automation Journey This N8N workflow transforms a simple topic request into a fully published, SEO-optimized blog post through a seamless 7-phase process. Starting with your topic id

This is the core AI agent used for queryverify.com.

🎓 Undergraduate and graduate students or researchers in soft-science fields (psychology, sociology, economics, business) ⏱️ People who don’t have time to read full papers and need quick overviews 📊 An

This workflow helps users find the most relevant n8n templates using AI.

local_RAG. Uses documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chatTrigger, memoryBufferWindow. Event-driven trigger; 39 nodes.

gitea-agent. Uses chatTrigger, agent, lmChatOpenAi, n8n-nodes-mcp. Chat trigger; 39 nodes.

Wait Splitout. Uses manualTrigger, embeddingsMistralCloud, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 38 nodes.

Wait Splitout. Uses manualTrigger, embeddingsMistralCloud, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 38 nodes.

Think Agents. Uses agent, chatTrigger, toolThink, lmChatAnthropic. Chat trigger; 38 nodes.

Boost your productivity with this AI-powered email and calendar assistant:

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 for y

Template was created in n8n v1.90.2 Execute Sub-workflow Trigger node Chat Trigger node Redis node Postgres node AI Agent node If node, Switch node, Code node, Edit Fields (Set) Execute Sub-workflow T

The benefits being (1) the vision model doesn't need to keep all document scans in context (expensive) and (2) ability to query on graphical content such as charts, graphs and tables. Page extracts fr

This workflow creates an intelligent document assistant called "Mookie" that can answer questions based on your uploaded documents. Here's how it operates: Document Ingestion: The system can automatic

An end-to-end Retrieval-Augmented Generation (RAG) customer support workflow for n8n, using a cache-first strategy (LangCache) combined with a Redis vector store powered by OpenAI embeddings. This tem

Gist:Olegivaniv. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter, httpRequest. Event-driven trigger; 38 nodes.

Perform comprehensive research on a user's query by dynamically generating search terms, querying the web using Google Search (by Gemini) , reflecting on the results to identify knowledge gaps, and it

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 Google D

This workflow is a caption-only carousel text generator built in n8n. It turns any raw LinkedIn post or text input into 3 short, slide-ready title + subtext captions and renders those captions onto im

This workflow provides a streamlined, no-code solution to extract all nested URLs from any standard XML sitemap and instantly convert them into a structured CSV file. Built entirely within n8n's nativ

n8n-ejentum-harness-integration-patterns. Uses lmChatOpenRouter, memoryBufferWindow, chatTrigger, mcpClientTool. Chat trigger; 37 nodes.

My workflow 7. Uses lmChatOpenRouter, slackTrigger, chatTrigger, agent. Event-driven trigger; 37 nodes.

AI Comprehensive Research on User's Query (reproduction of gemini-fullstack-langgraph-quickstart). Uses lmChatGoogleGemini, outputParserStructured, chainLlm, redis. Chat trigger; 37 nodes.

My workflow 3. Uses formTrigger, splitInBatches, lmChatGoogleGemini, httpRequest. Event-driven trigger; 36 nodes.

Master Social Scraper (Google Sheets). Uses chatTrigger, textClassifier, lmChatOpenAi, httpRequest. Chat trigger; 36 nodes.

GameMasterAi. Uses agent, lmChatOpenAi, discord, chatTrigger. Webhook trigger; 36 nodes.

Indoor Farming Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Webhook trigger; 36 nodes.

This workflow allows users to ask portfolio-related questions in a simple format (). It validates the input, fetches client data and holdings from Google Sheets, retrieves live market prices via API,

This workflow is perfect for: Businesses and teams who need an automated solution to organize, analyze, and retrieve insights from their internal documents. Researchers who want to quickly analyze and

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

This workflow enables users to interact with a PostgreSQL database using natural language. It translates text inputs into SQL queries, retrieves the corresponding data, and generates visualizations us

veo limpo new. Uses moveBinaryData, httpRequest, chatTrigger, baserow. Webhook trigger; 36 nodes.

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, whil

Proxmox Ai Agent With N8N And Generative Ai Integration. Uses httpRequest, toolHttpRequest, outputParserAutofixing, lmChatGoogleGemini. Chat trigger; 35 nodes.

Telegram. Uses httpRequest, toolHttpRequest, outputParserAutofixing, lmChatGoogleGemini. Chat trigger; 35 nodes.

This template automates IT operations on a Proxmox Virtual Environment (VE) using an AI-powered conversational agent built with n8n. By integrating Proxmox APIs and generative AI models (e.g., Google

This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone.

Featherless.ai is an inference provider with a different pricing model - they charge a flat subscription fee (starting from $10) and allows for unlimited token usage instead. If you're typically spend

Turn plain-language chat like “Tomorrow 9 AM: write blog post” into neatly organised Todoist tasks with GPT-4o and n8n—zero code.

> 💛 Sticky Note: > This Hyperpersonalized Outreach n8n template automates AI‑powered B2B email campaigns by combining Apollo.io lead scraping, LinkedIn enrichment, GPT‑4 generation, and SendGrid

This n8n workflow automates the process of ingesting documents from multiple sources (Google Drive and web forms) into a Qdrant vector database for semantic search capabilities. It handles batch proce

Template was created in n8n v1.90.2 Execute Sub-workflow Trigger node Chat Trigger node Redis node Postgres node Telegram node HTTP Request node If node, Code node, Edit Fields (Set) Execute Sub-workf

Template was created in n8n v1.90.2 Chat Trigger node Telegram Trigger node Redis node Postgres node Execute Sub-workflow If node, Code node, Edit Fields (Set), Extract From File Community nodes: n8n-

This workflow creates a conversational assistant that can answer questions based on your Google Drive documents. It automatically processes various file types and uses Retrieval-Augmented Generation (

This n8n workflow automates the entire process, from learning based on your website data, documents to a multi-channel chatbot with automated ticket creation. It's the perfect solution for businesses

This workflow implements a WhatsApp-based virtual restaurant assistant that automates customer interaction from the first message to post-dining follow-up.

Upsert Huge Documents In A Vector Store With Supabase And Notion. Uses embeddingsOpenAi, textSplitterTokenSplitter, splitInBatches, chainRetrievalQa. Chat trigger; 34 nodes.

RAG on living data. Uses embeddingsOpenAi, textSplitterTokenSplitter, splitInBatches, chainRetrievalQa. Chat trigger; 34 nodes.

This workflow is designed to process PDF documents using Mistral's OCR capabilities, store the extracted text in a Qdrant vector database, and enable Retrieval-Augmented Generation (RAG) for answering

The Video Grok Agent is an AI-powered video generation and editing workflow that uses Grok 4.1 Fast (via OpenRouter) and Grok Imagine Video to create and modify videos through natural language.

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.

Ai Agent To Chat With Files In Supabase Storage. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, extractFromFile. Event-driven trigger; 33 nodes.

Wait Code Export. Uses manualTrigger, httpRequest, html, embeddingsMistralCloud. Event-driven trigger; 33 nodes.

Ai Agent To Chat With Files In Supabase Storage. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, extractFromFile. Event-driven trigger; 33 nodes.

supabase. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 33 nodes.

Learn how to build an MCP Server and Client in n8n with official nodes.

Need to turn a one-line chat request into a fully-wired n8n workflow template—complete with AI agents, RAG, and web-search super-powers—without lifting a finger? That’s exactly what Agent Builder auto

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.

This n8n workflow demonstrates creating a recipe recommendation chatbot using the Qdrant vector store recommendation API.

This workflow implements a Retrieval-Augmented Generation (RAG) system that integrates Google Drive and Qdrant.

This beginner-friendly workflow demonstrates the core building blocks of n8n. It guides you through: Triggers – Start workflows manually, on a schedule, via webhooks, or through chat. Data processing

Template was created in n8n v1.90.2 Execute Sub-workflow Trigger node Chat Trigger node Redis node Postgres node Google Calendar node Execute Sub-workflow If node, Switch node, Code node, Edit Fields

Build a fully functional AI chatbot for any website using Retrieval-Augmented Generation (RAG). This workflow automatically crawls and indexes your entire site into a Qdrant vector database, then powe

Build your first AI MCP Server. Uses agent, googleCalendarTool, mcpTrigger, executeWorkflowTrigger. Event-driven trigger; 32 nodes.

This powerful n8n workflow deploys a sophisticated, multi-talented AI chatbot designed to streamline your e-commerce and customer support operations. The AI assistant can intelligently understand user

An extendable RAG template to build powerful, explainable AI assistants — with query understanding, semantic metadata, and support for free-tier tools like Gemini, Gemma and Supabase.

This workflow combines website chatbot intelligence with automated document ingestion and vectorization — enabling live Q&A from both chat input and processed Google Drive files. It uses Mistral AI fo

This Chatbot automates the process of discovering job openings and generating tailored job application emails.

The aim of the Invoice Data Automation workflow is to streamline invoice processing by extracting, validating, and storing invoice details automatically. It uses AI to read invoices (from images/PDFs)

This n8n template lets you automatically build and maintain an AI-ready knowledge base from Outlook emails and Notion pages. It stores both sources in a Pinecone vector database so your AI agent can r