n8n workflows for Memorypostgreschat.

> 📌 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

RAG. Uses formTrigger, vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader. Event-driven trigger; 19 nodes.

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.

Chatbot. Uses memoryPostgresChat, mcpClientTool, toolCalculator, toolWorkflow. Event-driven 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

IA - Indexação Google Docs -> Supabase pgvector. Uses whatsAppTrigger, httpRequest, embeddingsOpenAi, vectorStoreSupabase. Event-driven trigger; 15 nodes.

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

IA Professor de Espanhol de Tecnologia (Fixed). Uses agent, lmChatOpenAi, memoryPostgresChat, chainLlm. Webhook trigger; 13 nodes.

RAG Whatsapp. Uses @devlikeapro/n8n-nodes-waha, agent, lmChatOpenAi, embeddingsOpenAi. Event-driven trigger; 13 nodes.

AI Learning Pipeline: Telegram to Notion ETL. Uses telegramTrigger, lmOllama, informationExtractor, lmChatOllama. Event-driven trigger; 13 nodes.

Daily Viral Content Radar (AnyAPI). Uses n8n-nodes-anyapi, agent, gmail, googleSheets. Scheduled trigger; 13 nodes.

modelo do chatbot. Uses openAi, chatTrigger, memoryPostgresChat, mySqlTool. Chat trigger; 12 nodes.

modelo do chatbot. Uses openAi, chatTrigger, memoryPostgresChat, mySqlTool. Chat trigger; 12 nodes.

AI Customer-Support Assistant · WhatsApp Ready · Works for Any Business. Uses agent, toolHttpRequest, lmChatOpenAi, whatsAppTrigger. Event-driven trigger; 12 nodes.

modelo do chatbot. Uses openAi, chatTrigger, memoryPostgresChat, mySqlTool. Chat trigger; 12 nodes.

modelo do chatbot. Uses openAi, chatTrigger, memoryPostgresChat, n8n. Chat trigger; 12 nodes.

modelo do chatbot. Uses openAi, chatTrigger, memoryPostgresChat, mySqlTool. Chat trigger; 12 nodes.

AI Customer-Support Assistant that auto-maps any business site, answers WhatsApp in real time, and lets you earn or save thousands by replacing pricey SaaS chat tools.

Your workflow is an intelligent chatbot, using ++OpenAI assistant++, integrated with a backend that supports WhatsApp Business, designed to handle various use cases such as sales and customer support.

Assistant IA Support Client · WhatsApp · Fonctionne pour Toute Entreprise. Uses whatsAppTrigger, agent, lmChatOpenAi, memoryPostgresChat. Event-driven trigger; 12 nodes.

AI Customer-Support Assistant · WhatsApp Ready · Works for Any Business. Uses agent, toolHttpRequest, lmChatOpenAi, whatsAppTrigger. Event-driven trigger; 12 nodes.

Chat Assistant (OpenAI assistant) with Postgres Memory And API Calling Capabalities. Uses openAi, chatTrigger, memoryPostgresChat, mySqlTool. Chat trigger; 12 nodes.

dxnweb_chat. Uses agent, lmChatOpenAi, memoryPostgresChat, embeddingsOpenAi. Webhook trigger; 12 nodes.

n8nCal · /command. Uses agent, lmChatAnthropic, memoryPostgresChat, toolWorkflow. Webhook trigger; 12 nodes.

modelo do chatbot. Uses openAi, chatTrigger, memoryPostgresChat, mySqlTool. Chat trigger; 12 nodes.

Chat. Uses agent, memoryPostgresChat, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 12 nodes.

modelo do chatbot. Uses openAi, chatTrigger, memoryPostgresChat, mySqlTool. Chat trigger; 12 nodes.

Chatbot Streaming + Manual RAG + Score Filter. Uses httpRequest, agent, memoryPostgresChat, lmChatOpenAi. Webhook trigger; 10 nodes.

botws13. Uses lmChatOllama, memoryPostgresChat, agent, httpRequest. Webhook trigger; 7 nodes.

This workflow integrates Google Sheets with Supabase Vector Store for storing personal data as vectors. It utilizes OpenAI and Google Gemini AI models for enhanced data processing and querying.

Power BI Data Analyst Agent. Uses stickyNote, chatTrigger, agent, lmChatOpenRouter. Chat trigger; 12 nodes.

Slack quietly released an update to their API that allows developers to build "AI Apps & Agents", which is a special classification of apps that have access to several special capabilities including:

Transform your inbox into an intelligent support system: automatically detect new emails, retrieve relevant knowledge from Pinecone, rerank with Cohere for precision, generate contextual replies using

Orquestador Normativa. Uses chatTrigger, textClassifier, lmChatOllama, agent. Chat trigger; 12 nodes.

InsightsLM - Chat. Uses agent, memoryPostgresChat, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 12 nodes.

InsightsLM - Chat. Uses agent, memoryPostgresChat, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 11 nodes.

RagBook - Chat. Uses agent, memoryPostgresChat, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 11 nodes.

📺 Full walkthrough video: https://youtu.be/Z_l_T22px3U

Sales reps, agencies, and growth teams who want to turn basic company info into qualified leads with automated research . Perfect for B2B prospecting.

Describe any automation in plain English. This AI agent builds, validates, and deploys a working n8n workflow into your instance in seconds — no node dragging, no JSON editing, no guesswork.

Chatbot zalo. Uses agent, lmChatGoogleGemini, memoryPostgresChat, googleSheetsTool. Event-driven trigger; 11 nodes.

💡 What It Is

⚠️ Self-Hosted n8n Only

Mensagens. Uses agent, lmChatGoogleGemini, mcpClientTool, dateTimeTool. Webhook trigger; 10 nodes.

Chat. Uses readWriteFile, vectorStoreSupabase, documentDefaultDataLoader, embeddingsOpenAi. Event-driven trigger; 10 nodes.

RAG_answ_sub. Uses vectorStorePGVector, embeddingsOpenAi, agent, toolVectorStore. Event-driven trigger; 10 nodes.

Hi! I'm Bruno, and I'm here to help you automate your finances intelligently. This workflow has been carefully developed to transform the way you manage your money, using the power of artificial intel

Chatbot. Uses agent, lmChatGoogleGemini, vectorStoreQdrant, embeddingsGoogleGemini. Webhook trigger; 9 nodes.

🤖RAG Agent Demo. Uses chatTrigger, lmChatOpenAi, memoryPostgresChat, vectorStoreSupabase. Chat trigger; 8 nodes.

Bella Vista Customer Bookings Support. Uses chatTrigger, agent, lmChatOpenAi, embeddingsOpenAi. Chat trigger; 8 nodes.

MCP Agent Demo. Uses chatTrigger, agent, memoryPostgresChat, n8n-nodes-mcp. Chat trigger; 8 nodes.

Tech Stack Expert. Uses lmChatAnthropic, memoryPostgresChat, agent. Webhook trigger; 8 nodes.

chat rag webUI. Uses agent, lmChatOpenAi, memoryPostgresChat, vectorStoreSupabase. Webhook trigger; 8 nodes.

VCL_Attendance_AI_Agent. Uses chatTrigger, agent, lmChatOpenAi, memoryPostgresChat. Chat trigger; 7 nodes.

Purchasing Agent. Uses chatTrigger, agent, lmChatGoogleGemini, memoryPostgresChat. Chat trigger; 7 nodes.

BookStore. Uses lmChatOpenRouter, agent, memoryPostgresChat. Webhook trigger; 7 nodes.

Supabase Setup Postgres. Uses manualTrigger, lmChatGoogleGemini, memoryPostgresChat, supabase. Event-driven trigger; 6 nodes.

k8.lt - chatbot. Uses chatTrigger, agent, googleContactsTool, memoryPostgresChat. Chat trigger; 6 nodes.

This n8n template captures chat data (like user ID, name, or address) and saves it to a Supabase PostgreSQL database. It’s built for testing now but designed to work with WhatsApp, Slack, or similar p

BOT CHAT. Uses chatTrigger, memoryPostgresChat, agent, lmChatGoogleGemini. Chat trigger; 6 nodes.