rag-time and rag-in-action
These are complementary learning resources that address different aspects of RAG systems—Microsoft's offering provides a structured five-week foundational curriculum, while Huangjia's project delivers hands-on optimization and business-focused implementation across ten RAG components and four real-world scenarios.
About rag-time
microsoft/rag-time
RAG Time: A 5-week Learning Journey to Mastering RAG
This project offers a comprehensive, expert-led learning journey to help developers and AI practitioners master Retrieval-Augmented Generation (RAG). It provides step-by-step guides, live coding samples, and expert insights, taking you from foundational concepts to advanced optimization and multimodal RAG techniques. You will learn to build smarter AI applications by understanding how to integrate external knowledge into large language models.
About rag-in-action
huangjia2019/rag-in-action
End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。
This project helps AI developers build sophisticated Retrieval-Augmented Generation (RAG) systems. It guides you through integrating your documents into large language models to generate accurate, context-aware responses. You provide raw data like PDFs and get a fully functional RAG application tailored for specific business needs.
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