n8n workflows for Supabase.

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

⏺ 🚀 How it works

L&D_AgentsAI_ATIVO. Uses httpRequest, agent, googleCalendarTool, toolSerpApi. Webhook trigger; 93 nodes.

Bread-Meat-Delivery. Uses lmChatOpenAi, agent, httpRequest, redis. Webhook trigger; 91 nodes.

Arvifund - Supabase (Fixed v2). Uses httpRequest, telegram, googleSheets, telegramTrigger. Event-driven trigger; 90 nodes.

Arvifund - Supabase (Fixed v4). Uses httpRequest, telegram, googleSheets, telegramTrigger. Event-driven trigger; 90 nodes.

Arvifund - Supabase (Fixed v3). Uses httpRequest, telegram, googleSheets, telegramTrigger. Event-driven trigger; 90 nodes.

LinkedIn_Job_Hunt_and_Cover_Letter. Uses outputParserStructured, outputParserAutofixing, googleDrive, agent. Scheduled trigger; 85 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

• 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).

Search Worflow Docker Complete. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 71 nodes.

Flux. Uses lmChatOpenAi, agent, googleGemini, httpRequest. Webhook trigger; 67 nodes.

crawl4 ai. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Search Worflow Docker. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

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.

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

leads. Uses supabase, gmail, formTrigger, httpRequest. Webhook trigger; 62 nodes.

Whatsapp-Bot-Flow. Uses whatsappTrigger, agent, supabase, whatsapp. Event-driven trigger; 60 nodes.

Agent: IPTV (instance_e2165d22_1762376395079). Uses openAi, redis, supabase, httpRequest. Webhook trigger; 56 nodes.

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

webhook - simulador PDV (fluxo). Uses supabase. Webhook trigger; 55 nodes.

Wait Schedule. Uses spotify, supabase, compareDatasets, noOp. Scheduled trigger; 54 nodes.

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.

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.

OIL Rag. Uses lmChatOpenAi, embeddingsOpenAi, agent, telegramTrigger. Event-driven trigger; 53 nodes.

AI Sales Development Representative for WhatsApp Leads. Uses supabase, redis, agent, lmChatOpenAi. Webhook trigger; 53 nodes.

This template is for advanced users, content teams, and data analysts who need a robust, automated system for capturing YouTube transcripts. It’s ideal for those who monitor multiple channels and want

Reddit Monitor Master v3. Uses airtable, supabase, slack, httpRequest. Event-driven trigger; 52 nodes.

Code. Uses googleSheets, gmail, supabase, stickyNote. Webhook trigger; 51 nodes.

This workflow automates raw materials inventory management for businesses, eliminating manual stock updates, delayed material issue approvals, and missed low stock alerts. It ensures real-time stock t

Fully automated blog creation system using n8n + AI Agents + Image Generation

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

Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answer employee or customer questi

This workflow automates dental appointment management through a phone-based assistant. It listens for requests like booking, rescheduling, canceling, checking insurance, looking up appointments, and f

'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

Telegram dummy_client. Uses telegramTrigger, agent, lmChatOpenAi, telegram. Event-driven trigger; 48 nodes.

AI-Powered Lead Qualification & Routing System. Uses supabase, httpRequest, openAi, slack. Webhook 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

BIG-AGENT-V4-CONVERSAS. Uses redis, supabase, httpRequest, agent. Webhook trigger; 44 nodes.

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

Automated Book Generation System. Uses googleSheetsTrigger, gmail, lmChatOpenAi, outputParserStructured. Event-driven trigger; 43 nodes.

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

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

This template crawls a website from its sitemap, deduplicates URLs in Supabase, scrapes pages with Crawl4AI, cleans and validates the text, then stores content + metadata in a Supabase vector store us

An automated quote generation system that monitors your inbox, classifies quote requests using AI, calculates intelligent pricing based on historical data, and provides a professional dashboard for re

BIG-AGENT-V3-SUPABASE. Uses redis, supabase, httpRequest, agent. Webhook trigger; 40 nodes.

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

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.

Autonomous Ai Crawler. Uses toolWorkflow, lmChatOpenAi, outputParserStructured, manualTrigger. Event-driven trigger; 38 nodes.

Splitout Filter. Uses toolWorkflow, lmChatOpenAi, outputParserStructured, manualTrigger. Event-driven trigger; 38 nodes.

This workflow with AI agent is designed to navigate through the page to retrieve specific type of information (in this example: social media profile links).

This workflow automates a document approval process using Supabase and Gmail. Teams that need structured multi-level document approvals. Companies managing policies, contracts, or proposals. Medical d

🛠️ 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 workflow is for content creators, marketers, researchers, and anyone who needs to quickly get text transcripts from YouTube videos. If you analyze video content, repurpose it for blogs or social

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

Receive message — Telegram trigger captures incoming bot messages Validate user — Checks if sender's chat ID is in the authorized list Parse command — Extracts command type (/add, /list, etc.) and par

This workflow transforms any PDF legal contract into a detailed AI-powered risk report — in under 5 minutes. Upload a contract, and the system automatically splits it into clauses, analyses each one u

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.

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

Backend Erick. Uses supabase, n8n-nodes-evolution-api. Webhook trigger; 36 nodes.

FAQs Embeddings. Uses googleDocs, openAi, supabase, httpRequest. Event-driven trigger; 35 nodes.

This workflow automates the process of transforming any website URL into a structured, intelligent company profile. It's triggered by a form, allowing a user to submit a website and choose between a "

> 💛 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 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 (

FAQs Embeddings. Uses googleDocs, openAi, supabase, httpRequest. Event-driven trigger; 35 nodes.

BIG-AGENT-V5-FIXED. Uses redis, supabase, agent, lmChatAnthropic. Webhook trigger; 35 nodes.

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 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.

This n8n workflow transforms your Telegram into a professional interior design studio powered by artificial intelligence. Send a photo of furniture or a room space, and watch as the system intelligent

This workflow gathers papers in Arxiv and specific arxiv category AI helps to make summarized form of newsletter and send it to subscriber using gmail Supabase Table schema user_email: Text - Mandator

WABA Message Journey Flow Documentation This document outlines the automated workflow for sending WhatsApp messages to contacts, triggered hourly and managed through disposition and message count logi

This workflow is for anyone who runs n8n workflows and wants to know immediately when something breaks, without digging through execution logs. Especially useful for non-technical users and freelancer

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

Ai Agent To Chat With Files In Supabase Storage. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, extractFromFile. 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.

Pitch Paul. Uses lmChatOpenRouter, telegram, outputParserStructured, supabaseTool. Event-driven trigger; 33 nodes.

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.

StarGraphs. Uses lmChatGoogleGemini, chainLlm, supabase, httpRequest. Webhook trigger; 33 nodes.

darkweb-get-forum-posts. Uses outputParserStructured, toolThink, httpRequest, discord. Scheduled trigger; 32 nodes.

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.

Ideal for businesses that receive frequent inquiries about products or services and want to automate responses, freeing up time to focus on core operations. Polls your inbox for new incoming emails Cl

Handles GDPR Article 15 (access) and Article 17 (erasure) requests end-to-end — from inbound email to legally-compliant response — with zero manual intervention and a full audit trail. 📬 Monitors Gmai

Tegra Scraper. Uses httpRequest, googleSheets, agent, supabase. Event-driven trigger; 32 nodes.

Legal, Procurement, and Compliance teams at mid-size companies. ESN and agencies selling AI-powered contract review as a service.

This workflow serves as a complete "AI Receptionist" for mortgage brokers or high-ticket service providers. It automates the messy process of qualifying leads, getting internal approval, and collectin

This workflow solves a common problem with RSS feeds: they often only provide a short summary or snippet of the full article. This template automatically monitors a list of your favorite blog RSS feed

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

Turn AI policy into a working governance process aligned to Australian Government AI.gov.au guidance.

This workflow is designed for **customer support teams, e-commerce founders, and operations managers** who want to handle thousands of customer queries seamlessly. Instead of building a brand-new chat

This n8n workflow automates task management by integrating Trello, Supabase, and Telegram to streamline card creation, user assignment, and due date notifications. It ensures seamless synchronization

This workflow is a multi-system document synchronization pipeline built in n8n, designed to automatically sync and back up files between Microsoft SharePoint, Supabase/Postgres, and Google Drive.

Fluxo-N8N. Uses googleSheetsTool, dataTable, dataTableTool, informationExtractor. Webhook trigger; 30 nodes.

optimize-added-expenses. Uses telegramTrigger, agent, telegram, lmChatOpenAi. Event-driven trigger; 30 nodes.

2. Refresh Pipedrive tokens. Uses stopAndError, stickyNote, supabase, httpRequest. Webhook trigger; 29 nodes.

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

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

> Paste a YouTube URL into a Discord channel and this workflow automatically extracts the transcript, uses an LLM to generate a concise summary, and stores everything in a database — all in seconds

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 workflow provides an OAuth 2.0 auth token refresh process for better control. Developers can utilize it as an alternative to n8n's built-in OAuth flow to achieve improved control and visibility.

This workflow is a practical, “dirty” solution for real-world scenarios where frontline workers keep using Excel in their daily processes. Instead of forcing change, we take their spreadsheets as-is,

This enables webhooks for nearly realtime updates (every 5 seconds) from Notion Databases.

This workflow powers a Telegram astrology bot that manages chat sessions in Supabase, calculates natal or synastry charts via AstrologyAPI using location and timezone lookups, and uses Google Gemini (

This intelligent lead generation workflow transforms voice commands or text input into verified prospect lists through automated Apollo.io scraping. The system processes natural language requests, ext

This workflow introduces a conversational AI Cost Estimation Chatbot with built-in OCR document analysis and interactive form guidance. It helps users and teams handle pricing, measurement, and produc

Monitors your AP inbox for incoming invoices, extracts structured data with AI, runs duplicate and vendor history checks against Supabase, then scores each invoice for fraud risk — routing suspicious

This workflow captures incoming leads from Gmail, validates and stores them in Supabase, then uses AI to score and classify each lead. Based on the classification, leads are automatically routed to th

optimize-added-expenses. Uses telegramTrigger, agent, telegram, lmChatOpenAi. Event-driven trigger; 28 nodes.

Webhooks. Uses httpRequest, lmChatOpenAi, supabase, outputParserStructured. Webhook trigger; 28 nodes.

Base_Imob_v2_Congnitive. Uses toolWorkflow, googleCalendar, supabase. Scheduled trigger; 28 nodes.

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

This template is a practical introduction to n8n Webhooks with built-in examples for all major HTTP methods and authentication types. It is designed as a learning resource to help you understand how w

This workflow automatically detects duplicate files uploaded to a specific Google Drive folder by generating an MD5 hash of each file and comparing it against a Supabase database. If a duplicate is fo

What it is: An n8n workflow that enables AI-first WhatsApp support with seamless human handoff. Why it’s unique: The AI agent answers queries using RAG (Supabase vector store + Gemini). If a human int

Construction and renovation businesses that need to generate detailed quotes from customer inquiries—plasterers, painters, contractors, renovation specialists, or any construction service provider han

Perfect for content curators, researchers, developers, and community managers who want to build a structured database of valuable Reddit content without manual data entry. If you're tracking industry

AI-Business-Agent. Uses vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Scheduled trigger; 27 nodes.

This scheduled workflow ingests tender records, checks Google Sheets and Supabase for duplicates, uses Google Gemini to generate an eligibility summary, match score, and bid checklist, then stores the

Agente - Mensagem de Recompra. Uses supabase, n8n-nodes-evolution-api. Scheduled trigger; 26 nodes.

The job search process is filled with manual, frustrating tasks—reading endless job descriptions only to find the seniority is wrong, the role requires a language you don't speak, or a "hybrid" job ha

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

This workflow automates cold email campaigns by: Fetching leads Generating hyper-personalized email content using AI Sending emails via Smartlead API Logging campaign activity into Google Sheets Sched

This n8n workflow template is designed to provide real-time alerts on new cryptocurrency exchange listings and delistings. It caters especially to crypto traders, investors, and enthusiasts who want t

Automatically capture, analyze, and debug n8n workflow errors using Claude Sonnet 4 with real-time documentation lookup via Context7 MCP server.

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

Automatically watches a Google Drive folder, submits new documents to Landing.ai for parsing, caches processed files in - Supabase to avoid reprocessing, and reliably polls results with retry and time

This workflow automatically indexes your n8n workflows every 24 hours, converts them into vector embeddings using OpenAI and stores them in Supabase. It exposes a webhook that lets you query your work

fomono_v5. Uses telegramTrigger, telegram, supabase, httpRequest. Event-driven trigger; 26 nodes.

dummy_client - Shopify abandoned carts. Uses httpRequest, shopifyTrigger, whatsApp, supabase. Event-driven trigger; 25 nodes.

Sales Team V2. Uses supabase, httpRequest, crypto, openAi. Scheduled trigger; 25 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.

I prepared a comprehensive guide demonstrating how to build a multi-level retrieval AI agent in n8n that smartly narrows down search results first by file descriptions, then retrieves detailed vector

This workflow deploys a fully customizable AI chatbot that can be embedded on any website, from custom-coded sites to platforms like WordPress. The chatbot is powered by n8n, uses Supabase for memory

This is a lightweight n8n workflow that accepts chat input and uploaded receipts, runs OCR, stores parsed results in Supabase, and uses an AI agent to extract structured travel expense data and comput

BIG-AGENT-V2-REDIS-NATIVO. Uses redis, supabase, agent, lmChatAnthropic. Webhook trigger; 24 nodes.

BIG-AGENT-V2-EXPANDED. Uses httpRequest, supabase, agent, lmChatAnthropic. Webhook trigger; 24 nodes.

BIG-AGENT-COMPLETE. Uses supabase, lmChatAnthropic. Webhook trigger; 24 nodes.

Summarize. Uses supabase, chainLlm, lmChatGoogleGemini, outputParserStructured. Webhook trigger; 24 nodes.

Main Workflow-Image. Uses agent, httpRequest, supabase, memoryBufferWindow. Webhook trigger; 24 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 workflow automatically collects historical price data from Polymarket Up/Down markets and stores it in Supabase, creating a structured and query-ready dataset for analysis. By continuously fetchi

This n8n workflow automates email support using AI and vector database technology to provide smart, context-aware responses. It seamlessly integrates email automation and document management, ensuring

This workflow monitors targeted subreddits for potential sales leads using Reddit’s API, AI content analysis, Supabase, and Google Sheets.

This n8n workflow automatically handles failed payment events from payment gateways such as Stripe, Shopify, PayPal or WooCommerce. It receives payment failure webhooks, standardizes the incoming data

Optimized Realtor Bot Workflow. Uses telegramTrigger, telegram, openAi, agent. Event-driven trigger; 23 nodes.

Telegram Message Recap. Uses telegramTrigger, supabase, lmChatGoogleGemini, telegram. 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.

Content Creator. Uses lmChatOpenAi, httpRequest, supabase, outputParserStructured. Webhook trigger; 22 nodes.

Storage Sync - Google Drive. Uses supabase, googleDrive, httpRequest. Webhook trigger; 22 nodes.

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

What Problem Does This Solve? 🛠️

This workflow transforms your quick event notes into polished LinkedIn posts. Simply send a message via Telegram with your event name and personal notes, and the system will match it with your calenda

This workflow creates a sophisticated bilingual dictionary that provides literary-style definitions and examples for English and German words. The system automatically detects the input language, gene

This n8n workflow ensures data freshness in the RAG system by handling modifications to existing files. It complements the "Document Ingestion" workflow by triggering whenever a file in the monitored

RSS Collector - Scraping and Validation. Uses supabase, rssFeedRead, httpRequest, agent. Scheduled trigger; 22 nodes.

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

Webhook. Uses manualTrigger, stickyNote, httpRequest, supabase. Event-driven trigger; 21 nodes.

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

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

Smart Select Multi Tool Agent. Uses git, executeCommand, chainLlm, lmChatOpenAi. Webhook trigger; 21 nodes.

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

It tracks discussions across target subreddits, surfaces what users love, dislike, want changed, and highlights how they compare you to competitors.

I prepared a detailed guide that showed the whole process of building a call analyzer.

RestaurantBot Pro is a complete AI-powered restaurant ordering system that transforms your WhatsApp into a smart ordering platform. This intelligent automation handles customer interactions in any lan

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.

Self-Learning FAQs RAG. Uses googleDocs, openAi, supabase, httpRequest. Event-driven trigger; 21 nodes.

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

What this does

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

> ⚠️ Self-Hosted Disclaimer: This template requires self-hosted n8n installation and external service credentials (OpenAI, Tavily, Google Drive, NextCloud, Supabase). It cannot run on n8n Cloud due

This workflow automatically monitors your WooCommerce store inventory, calculates stock health based on recent sales, classifies products, computes reorder quantities, assigns urgency levels and sends

AIPA - Multi-Business Calendar Management. Uses telegram, supabase, telegramTrigger, googleCalendar. Webhook trigger; 20 nodes.

This workflow receives a goal via webhook, generates three prompt candidates using Google Gemini, OpenRouter, and Groq, has Cohere evaluate and select the best prompt, then returns the result to the c

Ai Agent For Realtime Insights On Meetings. Uses openAi, postgres, postgresTool, httpRequest. Webhook trigger; 19 nodes.

Postgres. Uses openAi, postgres, postgresTool, httpRequest. Webhook trigger; 19 nodes.

voice-assistant. Uses googleDriveTrigger, supabase, googleDrive, vectorStoreSupabase. Event-driven trigger; 19 nodes.

[HUB] Жора Action. Uses executeWorkflowTrigger, supabase, telegram, httpRequest. Event-driven trigger; 19 nodes.

AIPA - BMF Work Logging. Uses telegram, telegramTrigger, supabase, httpRequest. Webhook trigger; 19 nodes.

Course Guider Agent. Uses chainLlm, outputParserStructured, agent, supabase. Webhook trigger; 19 nodes.

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

InsightsLM - Chat. Uses lmChatOllama, outputParserStructured, chainLlm, vectorStoreSupabase. Webhook trigger; 19 nodes.

I prepared a detailed guide explaining how to build an AI-powered meeting assistant that provides real-time transcription and insights during virtual meetings.

Get Categories from Supabase* Download & Transform* Loop Over Items* LLM Categorizer* Insert into Supabase*

You provide a list of prompts and a system instruction, the workflow batches them into a single OpenAI Batch API request. The batch job is tracked in a Supabase openai_batches table. A cron job polls

This workflow tracks upcoming subscription expiry dates stored in Supabase and automatically sends personalized renewal-reminder messages to each customer via Telegram. It is designed to be triggered

Unified-Enrichment-View. Uses supabase, httpRequest, agent, lmChatGoogleGemini. Scheduled trigger; 19 nodes.