Best n8n Supabase Vector Store Node & Integration: Workflows & Templates

Documentation Expert Chatbot with RAG and Gemini

Build a custom RAG chatbot using an n8n workflow, Gemini, and Supabase. Index n8n documentation to create an AI expert that answers questions about any n8n node or feature accurately.

AI-Powered WhatsApp Restaurant Delivery Assistant

Automate restaurant orders and customer support using this advanced n8n workflow. Integrates WhatsApp (Evolution API), LangChain Agents, RAG, and Supabase for ultimate delivery automation.

AI Omnichannel Restaurant Assistant (WhatsApp, Instagram, Messenger)

Automate your restaurant's customer service across WhatsApp, Instagram, and Messenger using this robust n8n workflow. Integrates LangChain AI, OpenAI, Supabase, and handles RAG, payments, and lead management.

Documentation Expert Chatbot with RAG and Gemini

Build a custom RAG chatbot using an n8n workflow, Gemini, and Supabase. Index n8n documentation to create an AI expert that answers questions about any n8n node or feature accurately.

AI-Powered WhatsApp Restaurant Delivery Assistant

Automate restaurant orders and customer support using this advanced n8n workflow. Integrates WhatsApp (Evolution API), LangChain Agents, RAG, and Supabase for ultimate delivery automation.

AI Omnichannel Restaurant Assistant (WhatsApp, Instagram, Messenger)

Automate your restaurant's customer service across WhatsApp, Instagram, and Messenger using this robust n8n workflow. Integrates LangChain AI, OpenAI, Supabase, and handles RAG, payments, and lead management.

Multi-Channel AI Pet Shop Assistant with GPT-4o, Supabase & Payment Integration

A robust n8n workflow for a Pet Shop AI assistant automating multi-channel customer service (WhatsApp, Instagram, Facebook), lead management, payment processing, delivery calculation, and RAG knowledge base updates using GPT-4o.

AI Agent for Pet Shop Customer Service and Appointment Booking via WhatsApp

Use this advanced n8n workflow to deploy an AI Agent that handles pet shop appointments, RAG knowledge retrieval, and payment confirmations seamlessly through WhatsApp using the Evolution API.

Automated WhatsApp RAG Customer Support with Cohere Reranking and Google Drive Sync

Build an advanced n8n workflow for WhatsApp customer support. Features Google Drive RAG indexing, GPT-4.1-mini AI Agent, memory, and Cohere reranking for safe, professional replies. Deploy high-quality n8n templates.

WhatsApp Retrieval-Augmented Generation (RAG) Chatbot using Supabase, Gemini, and OpenAI

Build an advanced WhatsApp RAG chatbot using this powerful n8n workflow. It uses the n8n node ecosystem to integrate Gemini 2.5 Flash, OpenAI embeddings, and Supabase for efficient knowledge retrieval.

Retrieval-Augmented Generation (RAG) Pipeline for Live Notion Data using Supabase Vector Store

Use this n8n workflow to build a dynamic RAG knowledge base. Automatically upsert Notion data into Supabase Vector Store using OpenAI embeddings via a custom n8n template.

Documentation Expert Chatbot with RAG and Gemini

Build a custom RAG chatbot using an n8n workflow, Gemini, and Supabase. Index n8n documentation to create an AI expert that answers questions about any n8n node or feature accurately.

Automated WhatsApp RAG Customer Support with Cohere Reranking and Google Drive Sync

Build an advanced n8n workflow for WhatsApp customer support. Features Google Drive RAG indexing, GPT-4.1-mini AI Agent, memory, and Cohere reranking for safe, professional replies. Deploy high-quality n8n templates.

Telegram Chatbot with Voice Transcription and Message Batching

Create a robust n8n workflow for a Telegram chatbot that transcribes voice messages, intelligently batches user input, and uses an OpenAI agent with Supabase RAG.

Business Data Query Agent with RAG and Text-to-SQL

Deploy an advanced AI assistant using this n8n workflow. It combines Retrieval-Augmented Generation (RAG) via Supabase and Text-to-SQL via Peliqan to query internal documents and quantitative business data effectively. This n8n template accelerates BI.

Recursive Document RAG Pipeline with Supabase and Multi-LLM Context

Implement a robust n8n workflow for Retrieval-Augmented Generation (RAG) using recursive chunking. Integrate Google Drive, OpenAI, and Supabase Vector Store for powerful knowledge base automation.

Feature Request Feedback Loop with Semantic Search and AI Drafting

Automate closing the loop on user feedback. This advanced n8n workflow uses semantic search, Supabase, and AI to draft personalized Gmail messages when features ship, leveraging RAG functionality.

Advanced SEO Content Brief Generation using Claude AI and Supabase RAG

Automate competitor analysis and generate highly optimized meta tags, H1s, and detailed content briefs using this advanced n8n workflow powered by Claude AI, RAG knowledge bases, and web scraping.

Comprehensive Visual Node Reference Library

Explore the complete range of capabilities in this reference n8n workflow. This n8n template visualizes essential n8n node types: triggers, AI agents, data flow, and core logic components.

Multi-Channel RAG Customer Support Automation

Use this comprehensive n8n workflow to automate multi-channel customer support using RAG (Retrieval Augmented Generation), confidence scoring, Zendesk escalation, and vector database updates.

AI Document Assistant via Telegram with Gemini and Supabase

Deploy a custom AI Document Q&A chatbot on Telegram using this powerful n8n workflow. Integrates Google Gemini, Supabase vector storage, and advanced RAG capabilities. Explore n8n templates for AI.

WhatsApp Voice Assistant for Calendar and Knowledge Base Management

Leverage this powerful n8n workflow to build a WhatsApp voice assistant. It utilizes Twilio, VAPI, Google Calendar, Gmail, Supabase, and OpenAI for managing appointments and accessing a custom knowledge base via a conversational interface.

Self-Updating RAG Chatbot with Google Drive, Gemini, and Supabase

Use this comprehensive n8n workflow to build a dynamic Retrieval-Augmented Generation (RAG) system. Sync Google Drive files to Supabase vectors using the Google Gemini n8n node.

Google Drive to Supabase RAG Vector Store Creation using Gemini

Create a powerful RAG vector database. This n8n workflow ingests Google Drive documents, uses Gemini for embeddings, and stores results in Supabase. Essential n8n templates for AI data pipelines.

Document Indexing and Multi-Channel AI Chat Agent with RAG

This n8n workflow automates a full RAG system using Google Drive, OCR (Mistral AI), OpenAI embeddings, and Supabase vectors. Utilize these n8n templates to power a multi-channel AI chat agent across Slack, Telegram, and Gmail.

Multimodal RAG Agent with Claude, Supabase, and Google Drive File Analysis

Build a powerful RAG AI assistant using this complex n8n workflow template. It integrates Anthropic Claude 4, Supabase vector DB, Postgres memory, and multi-format file analysis (PDF, CSV, Image, Audio).

RAG Chatbot Builder for Google Drive Documents using Supabase

Build an advanced RAG chatbot using this n8n workflow. Connect Google Drive documents, use OpenAI embeddings, and store knowledge in a Supabase vector database for intelligent conversations.

BambooHR AI HR Policy & Benefits Chatbot with RAG

Build an intelligent, multi-tool HR Chatbot using n8n and Langchain. Index BambooHR policies into Supabase and enable employee lookup with a robust n8n workflow.

AI-Powered Job Board Publisher using RAG and WordPress

Automate job listing extraction, AI content regeneration, category mapping, and publishing to WordPress using this powerful n8n workflow. Integrates Telegram, OpenAI, Supabase RAG, and custom n8n nodes for efficient operation.

Automated Job Post Extraction, RAG Rewrite, and WordPress Publishing via Telegram

Use this advanced n8n workflow to automatically scrape job listings, regenerate content using an OpenAI RAG agent for strict SEO compliance, map taxonomy IDs, and publish directly to WordPress. Explore complex n8n templates.

Automated HR Service System with GPT-4 Agents and Google Workspace

Use this powerful n8n workflow to build a complete HR system via WhatsApp, covering leave requests, geofenced attendance tracking, policy lookups (RAG), and candidate shortlisting using GPT-4 agents.