sql-ai-datathon

KO | EN

gitlite — search

#typescript #ai-agents #ai #dsh-plugin #deepseek-harness #open-source #cli #claude-code #codex #developer-tools #react #windows

sql-ai-datathon

★ 27 Open GitHub ↗

No description available.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# SQL AI Datathon Starter Repository

Welcome to the SQL AI Datathon! You'll complete guided missions that will prepare you for building AI-powered applications with Microsoft SQL. You’ll use AI features to build embeddings, semantic/hybrid search, DAB endpoints, and an agent with RAG.

Complete all four missions to level up your skills, and add your own creative twist in the Open Hack to be eligible for judging for a ticket to [SQLCon 2026](https://techcon365.com/26sqlcon/)!

[Watch a live walkthrough of the missions on February 12th and 19th, 2026](https://developer.microsoft.com/en-us/reactor/series/S-1641/)

## Quick Start
1. Fork this repo.
2. Clone, or open in Codespaces. 
3. Complete all missions, 1-4.
4. Learn how to submit an entry for the Open Hack project in [`open-hack.md`](open-hack.md).
5. Submit your project by **February 26 at 11:59 PM PT**

## Mission Briefs
1. [Embeddings & Search](missions/mission1/README.md) ([folder](missions/mission1))
2. [Retrieval Augmented Generation (RAG)](missions/mission2/README.md) ([folder](missions/mission2))
3. [Orchestrate SQL + AI workflows in C# or Python](missions/mission3/README.md) ([folder](missions/mission3))
4. [Building a Full-Stack AI Application in C# or Python](missions/mission4/README.md) ([folder](missions/mission4))
5. [Open Hack](open-hack.md)

## What you’ll build
- Embeddings & search 
- REST/GraphQL endpoints with Data API Builder
- An agent that answers questions grounded in your SQL data

## How you’re evaluated for the Open Hack
| Criteria | What Judges Look For |
|----------|---------------------|
| **Problem Understanding** | Clear project type (Chatbot or Search), SQL as data source, proper RAG implementation |
| **Innovation & Creativity** | Original approach, creative use of embeddings/semantic search, unique UX or data usage |
| **Technical Execution** | Sound implementation, reproducible setup, focused scope, clear documentation |
| **Insight & Impact** | Meaningful outcomes, depth of analysis, real-world applicability |

## Looking for some Inspiration? 
Check out the Budget Bytes Series, where we build low cost AI applications with SQL: https://aka.ms/budgetbytes

## Get started with SQL Today for Free 
- [Azure SQL Database Free Tier](https://azure.microsoft.com/free/sql-database/):
    - Create up to 10 databases
    - 32 GB of storage and backup storage, per database
    - 100,000 vCore seconds, per database
    - Available for the lifetime of your [Azure](https://azure.microsoft.com/free/) subscription

## Resources
- [SQL + AI Datathon: Building Intelligent Apps with SQL Livestream series](https://developer.microsoft.com/reactor/series/S-1641)
- [Build AI-powered solutions using SQL Server 2025](https://learn.microsoft.com/training/modules/build-ai-solutions-sql-server)
- [Intelligent applications and AI with the SQL Database Engine](https://learn.microsoft.com/sql/sql-server/ai/artificial-intelligence-intelligent-applications?view=sql-server-ver17)

sql-ai-datathon

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README