Run Supabase 100% Locally for Your AI Agents

Supabase has quickly become a preferred choice for developers and enthusiasts working with AI agents. This engaging installation walkthrough showcases how to integrate Supabase within a Local AI package, opening the doorway to richer AI functionalities. This cheatsheet transforms complex instructions into actionable insights, enabling you to leverage the full potential of Supabase for your AI endeavors. 🎉

Why Integrate Supabase? 🤔

Supabase serves as an impressive open-source alternative to traditional databases, traditionally based on PostgreSQL. Its features, such as real-time capabilities and user management, make it a perfect match for AI applications.

Key Benefits:

• Great for managing conversation histories for AI agents 🗣️
• Use the PG Vector extension for vector databases, tapping into Retrieval-Augmented Generation (RAG)
• Out-of-the-box features like authentication and file storage

Incorporating Supabase not only enhances your existing AI framework but also sets the stage for developing advanced AI-driven applications.

Step-by-Step Setup 🛠️

Getting Supabase up and running with your Local AI Stack can feel daunting, but here’s a simplified breakdown to get you through it smoothly.

Prerequisites to Get Started 🔑

Before diving into installations, make sure you have the necessary tools:

1. Python: This is crucial for some installation scripts.
2. Git or GitHub Desktop: To clone the repository seamlessly.
3. Docker: Since everything you’ll run comes in Docker containers.

Make sure all these prerequisites are properly installed. 📥

Cloning the Repository 🌍

Once all prerequisites are installed:

• Clone the GitHub repository where the Local AI package is stored. Run the following command in your terminal:

   git clone <repository-link-here>

• Change your directory to the local-ai-package folder.

Setting Up Environment Variables ⚙️

You’ll need to configure your .env file with the required settings. This can seem overwhelming due to the quantity of variables, but fear not; most can remain at their default settings. Here are the essentials to define:

1. n8n Credentials: Create your JWT secret.
2. PostgreSQL Password: This will be the password for your database.
3. Dashboard Credentials: Just like with hosted versions, you’ll need seamless access to your tables.

Keep in mind that while this setup might seem extensive, Supabase offers in-depth guides for those who want to dive deeper. 📚

Running the Docker Containers 🚢

Now it’s time to fire up your AI stack with Supabase.

1. Use the command suited for your architecture (NVIDIA, AMD, etc.) to start everything. Here’s an example for NVIDIA users:

   docker-compose up

2. Additionally, if you ever need to restart your containers without data loss, just rerun the above command.

Setting Up a RAG AI Agent with Supabase 🤖

After successfully launching your Supabase instance, you’ll want to craft a RAG model that can utilize the database for intelligent retrieval.

• File Processing: Use a local file trigger to watch the folder where you’ll place your text files (like document reviews or meeting notes).
• Link this with Supabase to read and write to your local vector store.

Connecting n8n to Supabase 🛠️

To set up the connections:

• For n8n: Create new credentials using the Supabase information you configured earlier. Be sure to specify:
• Host: Use db as the hostname.
• Database: Set to postgres.
• User credentials: As defined in your .env file.

Testing Your Setup 🧪

Once everything is set up:

• Place a new file in the designated folder and monitor how your workflow responds.
• Review logs in Docker Desktop to check the interactions of all services.

Resource Toolbox 🧰

Here’s a collection of essential links and resources to complement your setup:

1. Evolved Local AI package on GitHub – Your main resource for all installation files.
2. Supabase Self-hosting Documentation – In-depth guide for running Supabase locally.
3. n8n AI Starter Kit – Starting point for working with n8n and AI.
4. Supabase Documentation – Comprehensive information on Supabase features.

These resources will bolster your understanding and enhance your implementation efforts! 🔗

Elevate Your Local AI Experience 🚀

By integrating Supabase into your local AI environment, you harness a robust tool that not only enhances data management but also expedites the development of intelligent agents. As you incorporate this knowledge, consider how it can apply to your current projects or inspire new ones. Let your creativity lead the way—there’s no shortage of possibilities in local AI!

🌟 Start small, experiment boldly, and watch your ideas flourish with Supabase!