When you need Toolvectorstore and Supabase Vector Store talking to each other, here are the 116 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.
Workflows that pair Toolvectorstore with Supabase Vector Store
My workflow 14. Uses supabase, redis, openAi, googleCalendarTool. Webhook trigger; 91 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
Agendamento_clinica_odonto. Uses openAi, n8n-nodes-evolution-api, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 72 nodes.
agendamento_odonto. Uses openAi, n8n-nodes-evolution-api, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 72 nodes.
___MAIN_2_Modularizado_24_3___ATIVO___ADVOCACIA_n8n___AGENTE_ENCAMINHAMENTO_. Uses supabase, httpRequest, informationExtractor, lmChatOpenAi. Event-driven trigger; 68 nodes.
Who is this for? This workflow is ideal for HR teams, startups, and enterprises that want to handle employee interactions through WhatsApp and automate responses using LLM (OpenAI) and intelligent rou
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
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter, memoryBufferWindow. Event-driven trigger; 50 no
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 ingests company policy PDFs from BambooHR into a Supabase vector database and provides an employee chat interface that answers policy and benefits questions using OpenAI, with an additio
Turn your cluttered inbox into a smart, autonomous assistant that categorizes emails, replies to leads, checks your calendar, and notifies you on Telegram—all without lifting a finger.
Indoor Farming Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Webhook trigger; 36 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.
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.
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.
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,
AI Document Assistant via Telegram + Supabase. Uses lmChatGoogleGemini, openWeatherMapTool, agent, telegramTrigger. Event-driven trigger; 28 nodes.
This template creates a Telegram AI Assistant that answers questions based on your documents, powered by Google Gemini and Supabase. Key features include Intelligent HTML Post-processing for rich form
See more Toolvectorstore workflows · Supabase Vector Store workflows
FAQ
How do I trigger a Supabase Vector Store action from Toolvectorstore?
Most workflows in this list use either a Toolvectorstore webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Supabase Vector Store nodes handle the action. Open any workflow's detail page to see the exact node graph.
Do I need both a Toolvectorstore and a Supabase Vector Store account?
Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.
Are these Toolvectorstore → Supabase Vector Store workflows free?
Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.