dev-it-with-me/RagUltimateAdvisor
A complete Retrieval-Augmented Generation (RAG) application that demonstrates modern AI capabilities for answering questions about Ultimate Frisbee rules and strategies. This project showcases how to build a production-ready RAG system using cutting-edge technologies.
This project helps developers learn how to build a complete Retrieval-Augmented Generation (RAG) application. It takes official rule documents (like the WFDF Ultimate Frisbee Rules) and processes them into an intelligent Q&A system. The output is an AI assistant that can answer natural language questions about the rules, providing attributed sources. It is designed for software developers or AI engineers looking to implement RAG.
Use this if you are a developer looking for a comprehensive, production-ready example to learn how to implement RAG systems using modern AI technologies.
Not ideal if you are solely an Ultimate Frisbee player or coach looking for a ready-to-use rules assistant without any technical setup or development work.
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48
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Language
Python
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Last pushed
Oct 24, 2025
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