Getting started:

Not much to get started on code wise. You can help sure up feature stories and planning though! 🆘

Learning Resources:

1. Introduction to Supabase

2. Using Supabase w/ Prisma

3. Open AI API Tutorial

--- More Advanced ---

4. Open AI API Assistants

5. Connect Open AI GPT 3 to Database

6. Embeddings, Vector Databases and Open AI API

Learning for future iterations 🔮:

To fine tune or not fine tune

What is RAG

A better way to validate and query Question & Answer content: Vector Search w/ LLM

We are waiting until the project officially starts to develop any features ⏳. For now, here are the prerequisites for contributors and some links to the documentation for the technologies/tooling we will build our project with.

Take a look at the github wiki and related github projects for further documentation.

The project officially starts development Saturday 02/24/2024 @10 AM EST and will is expected to be ready to demo by Sunday 02/25/2024 @2 PM EST 🤯. In the meantime, feel free to push up boilerplate code.

Additional Information:

Last year's winners

TBD Hackathon FQA Page

Prerequisites

• A Computer.
• Node.js. @20
• Vercel organization credentials.
• Supabase organization credentials.

Useful Documentation:

Node.js (JS Runtime environment)

PNPM (package manager)

Vite (Build Tool | Development Server)

SvelteKit (JS Metaframework for Svelte)

Svelte (JS UI Component Framework)

Tailwind (CSS Framework)

Schadcn Svelte (UI Component Library)

Amazon Web Services (Cloud Service Provider)

Vercel (Hosting | Cloud Service Provider)

Supabase (Backend as a Service)

Prisma (ORM for PostgreSQL Databases)

Serverless Framework (Infrastructure as Code/ Functions as a Service)