Similarity Search, Part 6: Random Projections with LSH Forest

Understand how to hash data and reflect its similarity by constructing random hyperplanes

Similarity search is a problem where given a query the goal is to find the most similar documents to it among all the database documents.

Introduction

In data science, similarity search often appears in the NLP domain, search engines or recommender systems where the most relevant documents or items need to be retrieved for a query. There exists a large variety of different ways to improve search …

data database data science documents faiss hash machine learning nlp part query random science search similarity-search thoughts-and-theory