Supabase Agent Workflow
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A workflow for interacting with Supabase as an agent, managing messages, tasks, status, and knowledge.
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About This Workflow
Overview
This n8n workflow outlines an agent-based system that leverages Supabase for data storage and retrieval. It includes nodes for manual triggering, interacting with Supabase tables (agent_messages, agent_tasks, agent_status, agent_knowledge, documents), embedding data using OpenAI, and performing RAG operations. The workflow is designed to manage agent communication, task execution, status updates, and knowledge base operations.
Key Features
- Manual trigger to initiate the workflow.
- Supabase integration for CRUD operations on various agent-related tables.
- OpenAI integration for generating embeddings.
- Retrieval Augmented Generation (RAG) functionality using Supabase as a vector store.
- Clear organization of agent messages, tasks, status, and knowledge.
How To Use
- Import this workflow into your n8n instance.
- Configure the Supabase API credentials.
- Configure the OpenAI API credentials.
- Adjust table names and operations as needed for your specific Supabase schema.
- Set up the manual trigger or integrate this workflow into a larger automated process.
Apps Used
Workflow JSON
{
"id": "868fab64-26e8-45f9-834d-d20af5efcde2",
"name": "Supabase Agent Workflow",
"nodes": 0,
"category": "AI/ML",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 868fab64-26e8...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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