System Design AI

Guided practice

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Designs with worked examples 4

Ordered by design number

Company tags are community-reported. Counts on cards show how many people reported that design.

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71. Design a Search Engine like Elasticsearch
Search a billion documents in 200 ms: inverted indexes, analysers, Lucene segments, shards and replicas, query then fetch with BM25, fed by CDC.
ClassicMedium
Sharding Search Distributed systems
+4
AWS Inverted index Lucene OpenSearch
Worked design
Practice
81. Design a Proximity Search Service
Radius, k-nearest and map-box search over places that rarely move and drivers that ping every few seconds: R-trees, geohash, H3 and S2 cells, Redis GEO and OpenSearch. One-hour boards for junior, senior and staff, with the theory.
ClassicMedium
Caching Databases Search
+6
AWS Geohash Geospatial OpenSearch Quadtree Redis
Worked design
Practice
83. Design a Vector Database
Nearest-neighbour search over a billion embeddings: HNSW, IVF-PQ and disk graphs, filters, segments, sharding, and hybrid search with re-ranking.
ClassicMedium
Generative AI Search AWS
+6
Embeddings HNSW Hybrid search RAG Retrieval Vector search
Worked design
Practice
109. Design an Embedding Generation and Indexing Pipeline
Embed a billion chunks on GPUs, keep a k-NN index fresh through CDC with versioned writes and provable deletes, and migrate models blue-green.
ClassicMedium
Search AI infrastructure AWS
+4
Batch inference Embeddings Retrieval Vector search
Worked design
Practice

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