Supabase AI Agent with RAG & Multi-Tenant CRUD
Version : 1.0.0
n8n Version : 1.88.0+
Author : Koresolucoes
License : MIT
Description
A stateful AI agent workflow powered by Supabase and Retrieval-Augmented Generation (RAG). Enables persistent memory, dynamic CRUD operations, and multi-tenant data isolation for AI-driven applications like customer support, task orchestration, and knowledge management.
Key Features :
- 🧠 RAG Integration : Leverages OpenAI embeddings and Supabase vector search for context-aware responses.
- 🗃️ Full CRUD : Manage
agent_messages, agent_tasks, agent_status, and agent_knowledge in real time.
- 📤 Multi-Tenant Ready : Supports per-user/organization data isolation via dynamic table names and webhooks.
- 🔒 Secure : Role-based access control via Supabase Row Level Security (RLS).
Use Cases
- Customer Support Chatbots : Persist conversation history and resolve queries using institutional knowledge.
- Automated Task Management : Track and update task statuses dynamically.
- Knowledge Repositories : Store and retrieve domain-specific information for AI agents.
Instructions
1. Import Template
- Go to n8n > Templates > Import from File and upload this workflow.
2. Configure Credentials
- Add your Supabase and OpenAI API keys under Settings > Credentials.
3. Set Up Multi-Tenancy (Optional)
- Dynamic Webhook Path :
Replace the default webhook path with /mcp/tool/supabase/:userId to enable per-user routing.
- Table Names :
Use a Set Node to dynamically generate table names (e.g., agent_messages_{{userId}}).
4. Activate & Test
- Enable the workflow and send test requests to the webhook URL.
Tags
AI Agent RAG Supabase CRUD Multi-Tenant OpenAI Automation
Screenshots
License
This template is licensed under the MIT License.
