Locality Sensitive Hashing (LSH): The Illustrated Guide

Locality sensitive hashing (LSH) is a widely popular technique used in approximate nearest neighbor (ANN) search. The solution to efficient similarity search is a profitable one — it is at the core of several billion (and even trillion) dollar companies.

Big names like Google, Netflix, Amazon, Spotify, Uber, and countless more rely on similarity search for many of their core functions.

This is a companion discussion topic for the original entry at https://www.pinecone.io/learn/locality-sensitive-hashing/%23shingling-minhashing-and-lsh