Supabase AI Agent Server with RAG & Multi-Tenant CRUD
Stateful AI agent workflow powered by Supabase and RAG for persistent memory, dynamic CRUD operations, and multi-tenant data isolation in AI applications.
This n8n workflow creates a robust Supabase-powered server for AI agents, integrating Retrieval-Augmented Generation (RAG) with OpenAI embeddings and Supabase vector search. It enables context-aware responses by retrieving relevant knowledge from vector stores, while supporting full CRUD operations on tables like agent_messages, agent_tasks, agent_status, and agent_knowledge. Multi-tenancy is achieved through dynamic table names and webhook paths, ensuring data isolation per user or organization
- Platform
- n8n
- Category
- Finance & Accounting
- Price
- $24.99
- Creator
- Juliet Weber
- Supabase
- AI Agent
- RAG
- Multi-Tenant
- CRUD
- OpenAI
- Vector Search
- Chatbots
- Task Management
- Knowledge Base
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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