microsoft/rag-time

RAG Time: A 5-week Learning Journey to Mastering RAG

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Established

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.

853 stars. No commits in the last 6 months.

Use this if you are an AI developer, machine learning engineer, or data scientist looking to deeply understand and implement Retrieval-Augmented Generation (RAG) for building more informed and accurate AI applications.

Not ideal if you are looking for a plug-and-play RAG solution without needing to understand the underlying architecture and implementation details.

AI development machine learning engineering natural language processing information retrieval large language models

Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 25 / 25

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Stars

853

Forks

308

Language

Jupyter Notebook

License

MIT

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rag-time and rag-experiment-accelerator rag-time and rag-in-action rag-time and RAG-To-Know

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