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

5.1 Recall vs Precision
5.2 Boolean retrieval
5.3 TF-IDF and BM25
5.4 Filters & Facets
5.5 Execution plans
5.6 WAND & Early termination
5.7 Caching

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

18. Build from Scratch

19. Case Studies

20. Failure Modes

21. Org Structure

22. Startup Angle

23. Engineer's Mindset

← Back to Portfolio

5.8 Approximate Retrieval (ANN)

This chapter is currently under construction. Please check back later.