n8n workflows for Memorypostgreschat.

Camila IA. Uses postgres, crypto, redis, agent. Webhook trigger; 92 nodes.

CLINICAINTEGRAL_secretary. Uses postgres, mcpClientTool, googleDriveTool, toolWorkflow. Webhook trigger; 89 nodes.

Remi 1.1. Uses lmChatOpenAi, memoryPostgresChat, openAi, postgres. Webhook trigger; 89 nodes.

A lightweight, self-hosted AI assistant built entirely in n8n. Multi-channel messaging (Telegram, WhatsApp, Gmail), persistent memory, task management, and autonomous work — all in a single visual wor

Bitlab-Chatbot. Uses telegramTrigger, telegram, snowflake, httpRequest. Event-driven trigger; 87 nodes.

This workflow implements an advanced AI automation agent (OpenClaw Agent) that interacts with users through Telegram and integrates multiple AI models, external tools, and cloud services to automate c

my-secretary. Uses postgres, mcpClientTool, googleDriveTool, toolWorkflow. Webhook 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

Your AI workforce is ready. Are you?

Personal Assistant. Uses memoryBufferWindow, agent, agentTool, httpRequestTool. Event-driven trigger; 77 nodes.

Hi! I’m Amanda, a creator of intelligent automations using n8n and Make. I’ve been building AI-powered workflows for over 2 years, always focused on usability and innovation. This one here is very spe

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

secretaria. Uses postgres, n8n-nodes-evolution-api, openAi, httpRequest. Webhook trigger; 71 nodes.

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

Automate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, and bars) using Apify Google Maps scraping, Perplexity enrichment, OpenAI LLMs, Goog

🧪 LABR - nuevo asistente (REPARADO). Uses httpRequest, postgres, postgresTool, toolCalculator. Webhook trigger; 63 nodes.

🧪 LABR - nuevo asistente (REPARADO). Uses httpRequest, postgres, postgresTool, toolCalculator. Webhook trigger; 63 nodes.

System Architecture Two integrated N8N workflows providing automated US stock portfolio management through Telegram:

🧪 LABR - nuevo asistente (REPARADO). Uses httpRequest, postgres, postgresTool, toolCode. Webhook trigger; 62 nodes.

🧪 LABR - nuevo asistente (REPARADO). Uses httpRequest, postgres, postgresTool, toolCode. Webhook trigger; 62 nodes.

Secretaria_IA. Uses postgres, httpRequest, openAi, agent. Webhook trigger; 60 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

This n8n workflow is built for AI and automation agencies to promote their workflows through an interactive demo that prospects can try themselves. The featured system is a deep personalized email dem

Auto repost job with RAG is a workflow designed to automatically extract, process, and publish job listings from monitored sources using Google Drive, OpenAI, Supabase, and WordPress. This integration

Brokeria-v20. Uses n8n-nodes-waha, httpRequest, redis, googleGemini. Webhook trigger; 56 nodes.

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

Prototyp Stalgast. Uses lmChatOpenAi, agent, postgres, postgresTool. Webhook trigger; 56 nodes.

Brokeria-v15. Uses n8n-nodes-waha, httpRequest, postgres, redis. Webhook trigger; 55 nodes.

This workflow creates a complete AI-powered restaurant ordering system through WhatsApp. It receives customer messages, processes multimedia content (text, voice, images, PDFs, location), uses GPT-4 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

Build an intelligent WhatsApp assistant that automatically responds to customer messages using AI. This template uses the Evolution API community node for WhatsApp integration and OpenAI for natural l

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.

⚠️ EDUCATIONAL DEMONSTRATION ONLY - NOT FOR PRODUCTION MEDICAL USE ⚠️

Llm-Chat-Sqls. Uses agent, memoryManager, crypto, postgres. Webhook trigger; 52 nodes.

Agente_Atendimento_E_commerce. Uses baserow, redis, openAi, httpRequest. Webhook trigger; 52 nodes.

This n8n workflow turns your Telegram bot into a smart, multi-modal AI assistant that accepts text, documents, images, and audio messages, interprets them using OpenAI models, and responds instantly w

'Elena AI' is a powerful n8n workflow that transforms your automation platform into a full-fledged, multi-agent AI hub. 🤖✨ By combining Redis state management with specialized “tool” sub-workflows, yo

All-in-One Telegram/Baserow AI Assistant 🤖🧠 Voice/Photo/Save Notes/Long Term Mem. Uses stickyNote, lmChatOpenAi, telegram, agent. Webhook trigger; 48 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 n8n workflow transforms your Telegram bot into a powerful personal assistant that handles voice, photo, and text messages. The assistant uses AI to interpret messages, save important details as l

All-in-One Telegram/Baserow AI Assistant 🤖🧠 Voice/Photo/Save Notes/Long Term Mem. Uses lmChatOpenAi, telegram, agent, openAi. Webhook trigger; 48 nodes.

Corvus 3.2 Beta. Uses httpRequest, agent, lmChatOpenAi, vectorStoreSupabase. Webhook trigger; 48 nodes.

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

AI Email Agent - Complete System. Uses gmailTrigger, gmail, vectorStorePGVector, embeddingsOpenAi. Event-driven trigger; 47 nodes.

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

Orra - Création de contenu. Uses outputParserStructured, lmChatOpenAi, httpRequest, facebookGraphApi. Event-driven trigger; 47 nodes.

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

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

• Multi-Layer Message Analysis - Every customer interaction passes through three specialized AI classifiers: privacy detection (identifies sensitive data and security requirements), intent recognition

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

🧪 LABR - nuevo asistente (REPARADO). Uses httpRequest, postgres, postgresTool, toolCode. Webhook trigger; 44 nodes.

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

kisisel asistan. Uses toolWorkflow, toolHttpRequest, toolCalculator, toolThink. Scheduled trigger; 43 nodes.

WhatsApp → AlfaCRM Sales Funnel (Main, v2 Advanced). Uses httpRequest, openAi, agent, lmChatOpenAi. Webhook trigger; 43 nodes.

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

DA_ZALO1. Uses embeddingsOpenAi, vectorStorePinecone, rerankerCohere, agent. Event-driven trigger; 42 nodes.

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

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

Author: Jadai kongolo

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

Business Assistant Telegram AI Agent. Uses telegramTrigger, telegram, httpRequest, memoryPostgresChat. Event-driven trigger; 41 nodes.

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

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

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

This workflow receives inbound lead messages from HighLevel (LeadConnector), pulls prior conversation history from Supabase/Postgres, uses OpenAI to generate a short reply, and updates HighLevel custo

BIG-AGENT-V3-PRO. Uses redis, supabase, httpRequest, agent. Webhook trigger; 39 nodes.

agente. Uses lmChatOpenAi, agent, googleTasksTool, mcpClientTool. Event-driven trigger; 38 nodes.

Version: 1.1.0 n8n Version: 1.88.0+ License: MIT

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

🛠️ How It Works: System Architecture Workflow ini bekerja melalui empat lapisan proses utama yang terintegrasi secara otomatis: Input Processing & Routing Telegram Trigger: Menangkap setiap pesan masu

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

Page Management. Uses documentDefaultDataLoader, embeddingsOpenAi, googleDrive, googleDriveTrigger. Event-driven trigger; 37 nodes.

BTL AI Page Management. Uses documentDefaultDataLoader, embeddingsOpenAi, googleDrive, googleDriveTrigger. Event-driven trigger; 37 nodes.

Delivery. Uses memoryPostgresChat, lmChatOpenAi, toolCalculator, redis. Webhook trigger; 37 nodes.

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

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

Powertech Whatsapp. Uses whatsAppTrigger, whatsApp, httpRequest, googleGemini. Event-driven trigger; 36 nodes.

Heartbeat. Uses postgres, telegram, chainLlm, lmChatOpenRouter. Scheduled trigger; 34 nodes.

Get notification each time cryptoreaches X. Uses telegramTrigger, telegram, agent, supabase. Event-driven trigger; 34 nodes.

A comprehensive real estate chatbot automation system that handles customer inquiries, property searches, and appointment scheduling through intelligent conversation flows and email processing.

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

This template provides a fully functional, enterprise-grade HR chatbot that employees can interact with using plain language in text or voice in any of the 10 supported Indian languages.

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.

Build a fully local RAG chatbot using Ollama that works without tool calling — ideal for smaller open-source models like Qwen that don't support native function calls. This template lets you run a pri

AI Agent to chat with you Search Console Data, using OpenAI and Postgres. Uses memoryPostgresChat, lmChatOpenAi, stickyNote, respondToWebhook. Webhook trigger; 30 nodes.

AI Agent to chat with you Search Console Data, using OpenAI and Postgres. Uses memoryPostgresChat, lmChatOpenAi, stickyNote, respondToWebhook. Webhook trigger; 30 nodes.

Edit 19/11/2024: As explained on the workflow, the AI Agent with the original system prompt was not effective when using .

Overview

This workflow is your all-in-one pipeline to turn any document into a powerful searchable knowledge base using RAG (Retrieval-Augmented Generation). From the moment a file lands in your Google Drive,

AI Agent to chat with you Search Console Data, using OpenAI and Postgres. Uses memoryPostgresChat, lmChatOpenAi, toolWorkflow, executeWorkflowTrigger. Webhook trigger; 30 nodes.

crawl4Ai-rag. Uses httpRequest, xml, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 30 nodes.

Extract Insights & Analyse Youtube Comments Via Ai Agent Chat. Uses stickyNote, lmChatOpenAi, toolWorkflow, memoryPostgresChat. Chat trigger; 29 nodes.

Order and Delivery Support. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 29 nodes.

ZEP Memory. Uses agent, telegramTrigger, telegram, httpRequest. Event-driven trigger; 29 nodes.

Supabase RAG AI Agent PDFs & More. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 29 nodes.

tg_main_rag. Uses agent, lmChatOpenRouter, telegram, openAi. Event-driven trigger; 29 nodes.

This workflow is an AI-powered multi-agent system built for startup founders and small business owners who want to automate decision-making, accountability, research, and communication, all through Wh

I prepared a detailed guide to help you set up your workflow effectively, enabling you to extract insights from YouTube for content generation using an AI agent.

Answers should given only within provided text. Chat interface powered by LLM (Ollama) Retrieval-Augmented Generation (RAG) using Supabase Vector DB Multi-format file support (PDF, Excel, Google Docs,

This powerful AI automation add-on upgrades your Telegram Bot Starter Template by integrating a fully functional AI chatbot and a context-aware AI agent that answers user questions using your internal

A complete AI-powered study assistant system that lets you chat naturally with your documents stored in Google Drive:

RAG_AI_Agent_PDFs_Excel. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Webhook trigger; 28 nodes.

Menu-Handler. Uses telegramTrigger, chatTrigger, executeWorkflowTrigger, chainLlm. Event-driven trigger; 28 nodes.

HR & IT Helpdesk Chatbot with Audio Transcription. Uses stickyNote, manualTrigger, httpRequest, extractFromFile. Event-driven trigger; 27 nodes.

HR & IT Helpdesk Chatbot with Audio Transcription. Uses stickyNote, manualTrigger, httpRequest, extractFromFile. Event-driven trigger; 27 nodes.

Supabase RAG AI Agent Custom Auth. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 27 nodes.

RAG Agent Integration Hub mit Knowledge Management. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 27 nodes.

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 via

This template is for businesses, customer support teams, and professionals who want to deliver AI-powered WhatsApp assistance. It helps automate conversations, schedule meetings, answer FAQs, and send

Telegram bot. Uses telegramTrigger, embeddingsOllama, lmChatOllama, toolVectorStore. Event-driven trigger; 26 nodes.

ExampleGeneratorV2. Uses gmailTrigger, agent, gmail, memoryPostgresChat. Event-driven trigger; 26 nodes.

Turn your website chat into a lead-generating machine. Visitors chat with an AI that answers questions from your knowledge base, captures their contact info, syncs everything to Google Sheets, and aut

SPRINT3_WORKFLOW. Uses agent, telegramTrigger, telegram, postgres. Event-driven trigger; 26 nodes.

Ai-Agent. Uses agent, lmChatOpenAi, memoryPostgresChat, airtopTool. Webhook trigger; 26 nodes.

financeiro. Uses agent, lmChatOpenAi, memoryPostgresChat, chatTrigger. Chat trigger; 25 nodes.

Corvus — Ingestão via Formulário. Uses agent, lmChatOpenAi, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 25 nodes.

*[Demo 2] 新增 Jira Worklog_v2. Uses chatTrigger, lmChatGroq, memoryPostgresChat, outputParserStructured. Chat trigger; 25 nodes.

Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Supabase RAG AI Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 24 nodes.

Supabase RAG AI Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 24 nodes.

Contextual Retrieval. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 24 nodes.

General Research Agent. Uses lmChatOpenAi, memoryPostgresChat, agent, outputParserStructured. Webhook trigger; 24 nodes.

V1 ocal RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

This workflow provides comprehensive AI-driven stock analysis, generating detailed deep reports by leveraging advanced vector-based data retrieval and API integrations for precise financial analytics

This workflow is perfect for individuals who want to maintain detailed financial records without the overhead of complex budgeting apps. If you prefer natural language over data entry forms and want a

V1 Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

V1 Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Agent: Local AI RAG: Ollama & Qdrant. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

This workflow automates customer chat with Chatwoot & n8n AI agent that handles incoming chats, qualifies leads, answers FAQs from Pinecone knowledge base, and escalates to a live human agent when one

RAG Agent supabase. Uses chatTrigger, lmChatOpenAi, embeddingsOpenAi, formTrigger. Chat trigger; 23 nodes.

Crawl4AI Agent. Uses httpRequest, xml, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 23 nodes.

V2 Supabase RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 23 nodes.

I2A2 - AI Minds V2. Uses chatTrigger, httpRequest, lmChatGoogleGemini, compression. Webhook trigger; 23 nodes.

This n8n workflow automates lead engagement and qualification for real estate buyers. When someone submits a form on your real estate website, the system instantly responds via SMS, starting a convers

🚀 Smart Outreach: Auto-Personalized Lead Sequences

Optimized Realtor Bot Workflow. Uses telegramTrigger, telegram, openAi, agent. Event-driven 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.

Telegram Chat with Buffering. Uses stickyNote, telegram, telegramTrigger, supabase. Event-driven trigger; 22 nodes.

My workflow 6. Uses agent, lmChatOpenAi, openAi, httpRequest. Webhook 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 template turns your PostgreSQL database into an AI-powered analytics assistant.

When creating chatbots that interface through applications such as Telegram and WhatsApp, users can often sends multiple shorter messages in quick succession, in place of a single, longer message. Thi

AI Database Assistant with Smart Query's & PostgreSQL Integration

ClinicBot. Uses whatsAppTrigger, whatsApp, agent, memoryPostgresChat. Event-driven trigger; 22 nodes.

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

assistente. Uses openAi, telegram, telegramTrigger, agent. Event-driven trigger; 21 nodes.

With the HighLevel MCP Automation Workflow, you unlock the full potential of AI-driven CRM management inside n8n. This setup turns your HighLevel account into a fully orchestrated MCP-powered system,

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

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

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

⚠️ 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

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

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

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

Apertura. Uses executeWorkflowTrigger, dataTable, agent, lmChatOpenAi. Event-driven trigger; 20 nodes.

n8n_amin. Uses lmChatOllama, gmailTool, telegramTrigger, telegram. Event-driven trigger; 19 nodes.

Whatsapp. Uses memoryManager, lmChatGoogleVertex, outputParserStructured, agent. Webhook trigger; 19 nodes.

Web Scraper Multi-Page. Uses memoryPostgresChat, agent, lmChatGoogleGemini, executeWorkflowTrigger. Webhook trigger; 19 nodes.

> 📌 What it looks like in use:

This magical n8n template turns your iMessage inbox into a soulful tarot reading experience powered by Blooio and AI. Users can send in questions or photos of their tarot spreads, and the bot replies

Intelligent Invoice Agent. Uses memoryPostgresChat, lmChatOpenAi, postgresTool, openAi. Webhook trigger; 18 nodes.

GitHub Assistant Agent. Uses memoryPostgresChat, executeWorkflowTrigger, httpRequest, toolWorkflow. Webhook trigger; 18 nodes.

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

IA Professor de Espanhol de Tecnologia (Corrigido v2). Uses supabase, crypto, agent, lmChatOpenAi. Webhook trigger; 18 nodes.

IA Professor de Espanhol de Tecnologia. Uses supabase, crypto, agent, lmChatOpenAi. Webhook trigger; 18 nodes.

Supabase Data Analyst Agent. Uses stickyNote, chatTrigger, agent, lmChatOpenRouter. Chat trigger; 17 nodes.

bolt.diy Expert. Uses memoryPostgresChat, lmChatOpenAi, httpRequest, executeWorkflowTrigger. Webhook trigger; 17 nodes.

Rag-Strapi. Uses lmChatOllama, embeddingsOllama, chatTrigger, httpRequest. Chat trigger; 17 nodes.

Larry Llama. Uses agent, lmChatOllama, memoryPostgresChat, embeddingsOllama. Webhook trigger; 17 nodes.

A/B Split Testing. Uses chatTrigger, agent, supabase, lmChatOpenAi. Chat trigger; 16 nodes.

Youtube Explanation: https://youtu.be/KgmNiV7SwkU

Oftentimes, it's useful to test different settings for a large language model in production against various metrics. Split testing is a good method for doing this.

This n8n workflow template is designed to route user input to specialized agents (like a Reminder Agent, Email Agent, etc.) using a structured output from a language model. Here's a complete descripti

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 research a

RAG. Uses httpRequest, agent, lmChatGoogleGemini, memoryPostgresChat. Webhook trigger; 16 nodes.

Local AI Expert. Uses lmChatAnthropic, memoryPostgresChat, executeWorkflowTrigger, supabase. Webhook trigger; 15 nodes.

Open WebUI Agent Template. Uses lmChatOpenAi, memoryPostgresChat, toolWorkflow, httpRequest. Webhook trigger; 15 nodes.

⚡ How it works

example bot copy. Uses chatTrigger, agent, telegram, toolCalculator. Chat trigger; 15 nodes.

This workflow receives English practice messages via a webhook, uses an OpenRouter chat model with Postgres-backed conversation memory to generate tutoring feedback, logs the exchange to Supabase, and

Advanced Web Researcher. Uses memoryPostgresChat, lmChatOpenAi, toolWorkflow, executeWorkflowTrigger. Webhook trigger; 14 nodes.

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. It unifies y

• Receives a user message from a chat • Uses an LLM node to understand user intent and generate a response • Retrieves and stores conversation memory in a database (Supabase) • Fetches real-time produ

contoh-rag-agent. Uses vectorStoreSupabase, postgresTool, agent, chatTrigger. Webhook trigger; 14 nodes.

Chatbot Webhook. Uses lmChatGoogleGemini, agent, outputParserStructured, memoryPostgresChat. Webhook trigger; 14 nodes.

eworld_chat_final. Uses agent, lmChatOpenAi, memoryPostgresChat, vectorStorePGVector. Webhook trigger; 14 nodes.

LINKEDIN AI REPLY BOT. Uses stickyNote, googleSheets, agent, lmChatOpenAi. Webhook trigger; 13 nodes.

Firecrawl RAG. Uses embeddingsOpenAi, vectorStoreSupabase, lmChatOpenAi, agent. Event-driven trigger; 13 nodes.

This workflow is a simple example of using n8n as an AI chat interface into Appian. It connects a local LLM, persistent memory, and API tools to demonstrate how an agent can interact with Appian tasks