Vector embeddings are used in many modern applications, including facial recognition, recommendation systems, reverse image search, and large language models … More
Category: Machine Learning
Postgres As A Vector Database: Billion-Scale Vector Similarity Search With pgvector
In the world of database management, there are often debates about the right tools for specific tasks. In a recent … More
Face Anti-Spoofing for Facial Recognition In Python
In today’s world, facial recognition technology is widely being used for security purposes, but it comes with some vulnerabilities. Imagine … More
Billion-scale Fast Vector Similarity Search with Spotify Voyager
In the ever-evolving landscape of music streaming and recommendation systems, Spotify has long been at the forefront, leveraging cutting-edge technologies … More
A Step by Step Approximate Nearest Neighbor Example In Python From Scratch
Nearest neighbor search is a fundamental problem for vector models in machine learning. It involves finding the closest vectors to … More
How to Generate Vector Embeddings
Vector models have become ubiquitous in our lives, powering various applications such as facial recognition, reverse image search, recommendation engines … More
The Rise of Vector Databases
In the ever-evolving landscape of data management, a powerful new player has emerged: vector databases. With the exponential growth of … More
K-NN vs Approximate Nearest Neighbors
In the vast realm of data science and machine learning, the ability to efficiently find similar items or patterns within … More
The Rise of Vector Models in Machine Learning
In the rapidly advancing field of machine learning, vector models have emerged as a vital cornerstone for driving breakthroughs in … More
Redis As A Vector Database: Fast Vector Similarity Search with RediSearch
In today’s data-driven world, the ability to efficiently search and analyze vast amounts of information is crucial for many applications. … More
