By far, one of the most popular uses of large language models is RAG: Retrieval Augmented Generation. RAG (Retrieval Augmented Generation) combines the power of large language models with the knowledge of a search engine. This allows you to ask questions of your own data and get answers that are relevant to the context of your question.

We want to empower all developers to build RAG applications, so we’re excited to announce RAGHack:

a global hackathon with live streams, prizes, and advice from experts.

RAGHack is your opportunity to get deep into RAG and start building with RAG yourself. Across 25+ live streams, we’ll show you how to build RAG applications on top of Azure AI in multiple languages (Python, Java, JS, C#) with multiple retrievers (AI Search, PostgreSQL, Azure SQL, Cosmos DB), with your own data sources! You’ll learn about the most popular frameworks, like LangChain and Semantic Kernel, plus the latest technology, like agents and vision models.

The possibilities are endless for what you can create… plus you can submit your hack for a chance to win exciting prizes!

:trophy: We’ll reward prizes in these 10 categories:

Best overall
Best in JavaScript
Best in Java
Best in .NET
Best in Python
Best use of AI Studio
Best use of AI Search
Best use of PostgreSQL
Best use of Cosmos DB
Best use of Azure SQL

✍🏽 Register for the hackathon from the Reactor series page. That will register you for both the live streams and the hackathon.

:globe_showing_americas: If you speak Spanish, Portuguese, or Chinese, we’ll also have streams and support from experts in those languages, and we’d love to see submissions in your own language. Register for those streams here.

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