This post outlines the design and performance of PostgreSQL Similarity Search and describes similarity searches for random texts and arrays to see how PostgreSQL standalone performs.
This article explains how the PostgreSQL database along with smlar plug-in helps in efficiently retrieving massive volumes of SimHash data on the basis of the hamming distance.
This post discusses how to calculate the similarity between arrays using algorithms. It focuses on similarity calculation for strings, images, and other types of data in PostgreSQL.
This post outlines several ways to filter duplicate e-commerce content and also describes how indexing helps to determine the similarity between documents.
This post outlines the design and practices for PostgreSQL similarity search distributed architecture and describes how you can perform a parallel query by using DBLink asynchronous calls.