Module 6: Designing Search Systems

1. Module Introduction: Designing Search Systems

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Overview

This module teaches you to design a complete search system: from indexing documents to processing queries and ranking results. It brings together all the previous concepts (vectors, similarity, ANN) into an end-to-end architecture.

Estimated time: 2.5-3 hours

Module Objectives

  1. Understand search architecture (indexing, query processing, ranking)
  2. Design the indexing pipeline (chunking, embedding, storage)
  3. Optimize query processing (embedding the query, kNN, reranking)
  4. Implement ranking strategies (score fusion, metadata filtering)
  5. Evaluate search quality (precision, recall, MRR)

Roadmap: 8 capsules

#CapsuleDuration
01Introduction15 min
02Overall architecture25 min
03The indexing pipeline30 min
04Query processing25 min
05Ranking strategies30 min
06Quality evaluation25 min
07Case studies25 min
08Capstone exercise25 min

Next capsule: 02-overall-architecture.md — The components of a search system.

← Previous7. Capstone Exercise: Classifying 10 QueriesNext →2. The Overall Architecture of a Search System