Systems Atlas

Search Engineering Guide

0. How to Read This

1. The Business & Product

2. Understanding the User Query

3. Indexing & Infrastructure

4. Data Foundation

6. Vector & Semantic Search

7. Training Embedding Models

9. UI Layout & Result Display

10. Ads in Search Results

11. Personalization

12. Caching & Performance

13. System Architecture Design

14. Distributed Architecture

15. Evaluation & Metrics

16. Analytics & Feedback

17. LLMs in Search

17.1 Where they help
17.2 Rewriting
17.3 Intent
17.4 Summarization
17.5 Agents
17.6 RAG vs Search
17.7 Limitations

18. Build from Scratch

19. Case Studies

20. Failure Modes

21. Org Structure

22. Startup Angle

23. Engineer's Mindset

← Back to Portfolio

13. Query Understanding with LLMs

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