Most-used Supabase workflows
- Automate Personalized Cold Email Sequences with Gpt-4, Mailgun and Supabase (100 nodes)
- Qualify and Manage Voice Sales Calls with Claude, Gpt-4o, Gemini, and Gohighlevel — n8n Supabase workflow (94 nodes)
- L&d_agentsai_ativo (93 nodes)
- Arvifund - Supabase (fixed V6) — n8n Supabase workflow (92 nodes)
- Bread-meat-delivery (91 nodes)
- Arvifund - Supabase (fixed V5) — n8n Supabase workflow (91 nodes)
- My Workflow 14 (supabase) (91 nodes)
- Arvifund - Supabase (fixed V2) — n8n Supabase workflow (90 nodes)
- Arvifund - Supabase (fixed V4) (90 nodes)
- Arvifund - Supabase (fixed V3) — n8n Supabase workflow (90 nodes)
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.
Arvifund - Supabase (Fixed v6). Uses httpRequest, telegram, supabase, telegramTrigger. Event-driven trigger; 92 nodes.
Bread-Meat-Delivery. Uses lmChatOpenAi, agent, httpRequest, redis. Webhook trigger; 91 nodes.
Arvifund - Supabase (Fixed v5). Uses httpRequest, telegram, googleSheets, telegramTrigger. Event-driven trigger; 91 nodes.
My workflow 14. Uses supabase, redis, openAi, googleCalendarTool. 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.
Arvifund - Supabase (Fixed). 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).
Agendamento advocacia_MAIN. Uses redis, openAi, httpRequest, supabase. Webhook trigger; 75 nodes.
Search Worflow Docker Complete. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 71 nodes.
This workflow ingests incident and playbook content from GitHub into Supabase (including pgvector embeddings with Google Gemini) and, on a webhook trigger, enriches a test incident with historical mat
This consists 3 different workflows. Each one should be saved into individual workflows.
___MAIN_2_Modularizado_24_3___ATIVO___ADVOCACIA_n8n___AGENTE_ENCAMINHAMENTO_. Uses supabase, httpRequest, informationExtractor, lmChatOpenAi. Event-driven trigger; 68 nodes.
Flux. Uses lmChatOpenAi, agent, googleGemini, httpRequest. Webhook trigger; 67 nodes.
god_is_typing v2.6 (Multi-channel: Telegram + Web). Uses telegramTrigger, telegram, supabase, httpRequest. Event-driven trigger; 66 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.
This workflow exposes a POST webhook that turns a job description into a structured hiring brief using Groq, searches candidates across GitHub, LinkedIn (via Apify), Stack Overflow, and Hacker News, s
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.
Episode 8: Instagram influencer. Uses supabase, gmail, httpRequest, facebookGraphApi. Event-driven 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.
Reddit Monitor Tool. 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.
This workflow turns incoming WhatsApp messages (text, audio, images, and documents) into actionable support interactions by extracting content, detecting sentiment, and using an AI agent with a Supaba
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.
2-[Agente-Abogado]-RAG. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 43 nodes.
[Agente-Abogado]-RAG. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 43 nodes.
Ultimate Agentic RAG AI Agent Template. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, stickyNote. Event-driven trigger; 42 nodes.
contoh-rag. Uses documentDefaultDataLoader, embeddingsOpenAi, googleDrive, googleDriveTrigger. Event-driven trigger; 42 nodes.
Agent D'analyse. Uses memoryBufferWindow, googleSheetsTool, agent, lmChatOpenAi. Webhook trigger; 42 nodes.
n8n RAG AI Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 41 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.
Chatbot Tuclima. Uses googleDocsTool, supabase, lmChatGoogleGemini, memoryBufferWindow. 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
booking no duplicate. Uses httpRequest, supabase. Webhook trigger; 38 nodes.
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.
This workflow ingests job postings from Greenhouse/Lever/Ashby job boards, Adzuna, and RemoteOK into a Supabase jobs pool, then daily uses Anthropic Claude to score a short list against a single candi
02 - Proposal Generator. Uses telegramTrigger, supabase, httpRequest, telegram. 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.
Pitch Paul. Uses lmChatOpenRouter, telegram, outputParserStructured, supabaseTool. Event-driven trigger; 33 nodes.
01-intake-storage. Uses airtable, supabase, stopAndError, 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.
Youtube Video: https://youtu.be/QyIalCCy6s8?si=Zlmde_oZz3qbDGwJ Github Repo: https://github.com/blankarrayy/automated-gym-checkin-system
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 workflow listens for DocuSign Connect envelope-completed events, looks up the related assessment in Supabase, updates contract and client records, sends a welcome email (optionally drafted with A
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.
This workflow runs monthly, checks Supabase for up-to-date real estate market records for a configured ZIP code, and either reports existing month-over-month rent and sale trends or fetches fresh mark
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.
This workflow lets you upload a tender/RFT PDF via an n8n form, extracts key fields into Google Sheets using LlamaParse, and makes the document chat-searchable by embedding section chunks with Google
n8n-supabase-ai-pipeline. Uses supabase, httpRequest, postgres, readWriteFile. Webhook 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.
Analyse "Impressum". Uses executeWorkflowTrigger, httpRequest, googleSheets, supabase. Event-driven 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.
contoh-rag-embedding. Uses documentDefaultDataLoader, googleDrive, googleDriveTrigger, supabase. Event-driven 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.
200 of 489 workflows on page 1 of 3 · Browse all →
FAQ
How many n8n Supabase workflows are in the catalog?
489 n8n workflows in AutomationFlows currently use the Supabase integration — triggers, actions, or both.
How do I connect Supabase in n8n?
After importing the workflow JSON, n8n will prompt for Supabase credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most Supabase workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.