{"id":50138701,"url":"https://github.com/microsoft/sql-ai-datathon","last_synced_at":"2026-05-24T00:01:26.057Z","repository":{"id":337467840,"uuid":"1135191467","full_name":"microsoft/sql-ai-datathon","owner":"microsoft","description":null,"archived":false,"fork":false,"pushed_at":"2026-02-20T01:11:00.000Z","size":613,"stargazers_count":24,"open_issues_count":5,"forks_count":30,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-14T13:40:50.307Z","etag":null,"topics":["ai","azuresql","csharp","polyglot-notebooks","python","sqlserver-2025","vector-database","vector-search"],"latest_commit_sha":null,"homepage":"https://microsoft.github.io/sql-ai-datathon/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/microsoft.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-01-15T19:06:53.000Z","updated_at":"2026-05-03T17:40:10.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/microsoft/sql-ai-datathon","commit_stats":null,"previous_names":["microsoft/sql-ai-datathon"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/microsoft/sql-ai-datathon","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fsql-ai-datathon","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fsql-ai-datathon/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fsql-ai-datathon/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fsql-ai-datathon/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/microsoft","download_url":"https://codeload.github.com/microsoft/sql-ai-datathon/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fsql-ai-datathon/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33416307,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-23T22:14:44.296Z","status":"ssl_error","status_checked_at":"2026-05-23T22:14:43.778Z","response_time":53,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","azuresql","csharp","polyglot-notebooks","python","sqlserver-2025","vector-database","vector-search"],"created_at":"2026-05-24T00:01:04.344Z","updated_at":"2026-05-24T00:01:26.047Z","avatar_url":"https://github.com/microsoft.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SQL AI Datathon Starter Repository\n\nWelcome 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.\n\nComplete 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/)!\n\n[Watch a live walkthrough of the missions on February 12th and 19th, 2026](https://developer.microsoft.com/en-us/reactor/series/S-1641/)\n\n## Quick Start\n1. Fork this repo.\n2. Clone, or open in Codespaces. \n3. Complete all missions, 1-4.\n4. Learn how to submit an entry for the Open Hack project in [`open-hack.md`](open-hack.md).\n5. Submit your project by **February 26 at 11:59 PM PT**\n\n## Mission Briefs\n1. [Embeddings \u0026 Search](missions/mission1/README.md) ([folder](missions/mission1))\n2. [Retrieval Augmented Generation (RAG)](missions/mission2/README.md) ([folder](missions/mission2))\n3. [Orchestrate SQL + AI workflows in C# or Python](missions/mission3/README.md) ([folder](missions/mission3))\n4. [Building a Full-Stack AI Application in C# or Python](missions/mission4/README.md) ([folder](missions/mission4))\n5. [Open Hack](open-hack.md)\n\n## What you’ll build\n- Embeddings \u0026 search \n- REST/GraphQL endpoints with Data API Builder\n- An agent that answers questions grounded in your SQL data\n\n## How you’re evaluated for the Open Hack\n| Criteria | What Judges Look For |\n|----------|---------------------|\n| **Problem Understanding** | Clear project type (Chatbot or Search), SQL as data source, proper RAG implementation |\n| **Innovation \u0026 Creativity** | Original approach, creative use of embeddings/semantic search, unique UX or data usage |\n| **Technical Execution** | Sound implementation, reproducible setup, focused scope, clear documentation |\n| **Insight \u0026 Impact** | Meaningful outcomes, depth of analysis, real-world applicability |\n\n## Looking for some Inspiration? \nCheck out the Budget Bytes Series, where we build low cost AI applications with SQL: https://aka.ms/budgetbytes\n\n## Get started with SQL Today for Free \n- [Azure SQL Database Free Tier](https://azure.microsoft.com/free/sql-database/):\n    - Create up to 10 databases\n    - 32 GB of storage and backup storage, per database\n    - 100,000 vCore seconds, per database\n    - Available for the lifetime of your [Azure](https://azure.microsoft.com/free/) subscription \n\n## Resources\n- [SQL + AI Datathon: Building Intelligent Apps with SQL Livestream series](https://developer.microsoft.com/reactor/series/S-1641)\n- [Build AI-powered solutions using SQL Server 2025](https://learn.microsoft.com/training/modules/build-ai-solutions-sql-server)\n- [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)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2Fsql-ai-datathon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmicrosoft%2Fsql-ai-datathon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2Fsql-ai-datathon/lists"}