#576 · Primary category: Education & Research

rag-time

ai azure binary-quantization generative-ai gpt hnsw hybrid-search indexing keyword-search language-model llm matryoshka-representation-learning multimodal openai rag responsible-ai retrieval-augmented-generation scalar-quantization vector-search visual-studio-code

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

Project last updated:06/17/25

GitHub Stars

899

Forks

320

Contributors

14

License

MIT

Why we included this project

Teams that want real RAG skills rather than a pile of disconnected tutorials will find a structured curriculum in this Microsoft repo, laid out as five themed journeys that pair expert-led video talks with code you can actually run. The material covers the decisions that show up in production work, such as hybrid search, HNSW indexing, and binary or scalar quantization, instead of just walking through a sample app. Each journey ships with ready-to-run samples and clear README instructions, so you can clone the repository, work through it locally, and adapt the code to your own data. It is a study guide rather than a deployable service, so count on doing your own integration work rather than installing a finished tool.

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