This repository packages a Notion study edition of The RAG Interview. The imported title page identifies Hao Hoang, AI Interview Prep, and First edition, 2026 as source metadata. Those statements are preserved from the source; they are not an independent verification of identity, edition status, or publication rights.
The GitHub account hosting this export is not presented as the author of the original book.
- Original title-page information
- Acknowledgments
- Original-edition source index
- Annotated reading list
All original author, publisher, and third-party rights remain with their respective holders. No new license is granted to third-party material by this repository. Public availability should not be interpreted as a blanket permission to redistribute, adapt, or commercially reuse source material.
The export preserves the study collection’s references and source notes. Corrections should retain provenance and distinguish original claims from editorial interpretation.
Website edition
This reading edition publishes the complete 60-page collection from RAG-Interview-Notion-Markdown, source revision b068af2. All 41 chapters, nine front-matter units, seven appendices, and three navigation pages are included.
The website adapts navigation and layout for the web. Equations are pre-rendered with KaTeX; diagrams are rendered from the original Mermaid blocks. Missing TeX control-word separators are added only during rendering. The downloadable Notion import and the source Markdown are unchanged.
This is a static edition, not a live synchronization with Notion. The original source metadata, references, and rights notices remain intact. Website hosting does not transfer authorship of the book to Arun Sharma.
Rendering software
Equations use KaTeX (MIT license); the included font and software license is available here. Diagrams are generated with Mermaid (MIT license). Build dependencies and their exact versions are recorded in the website source.