2025, Algorithm and K-nearest Neighbors

Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH)

PyImageSearch

JANUARY 27, 2025

Random Projection The first step in the algorithm is to sample random vectors in the same -dimensional space as input vector. Setting Up Baseline with the k-NN Algorithm With our word embeddings ready, let’s implement a -Nearest Neighbors (k-NN) search. -NN

K-nearest Neighbors

K-nearest Neighbors Algorithm Data Preparation Database

Vector Databases 101: A Beginner’s Guide to Vector Search and Indexing

Towards AI

FEBRUARY 19, 2025

Last Updated on February 20, 2025 by Editorial Team Author(s): Afaque Umer Originally published on Towards AI. But heres the catch scanning millions of vectors one by one (a brute-force k-Nearest Neighbors or KNN search) is painfully slow. Or how Netflix somehow knows youll love that obscure sci-fi thriller?

Database

Database K-nearest Neighbors Machine Learning Machine Learning

Practical Tips and Tricks for Developers Building RAG Applications

Towards AI

APRIL 23, 2025

Last Updated on April 24, 2025 by Editorial Team Author(s): James Luan Originally published on Towards AI. To demonstrate this concept, I wrote a short demo in just ten lines of Python code using the k-nearest neighbors algorithm (KNN). Vector Search is Not Effortless!

K-nearest Neighbors

K-nearest Neighbors Database ETL Machine Learning

Data Science Current

Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH)

Vector Databases 101: A Beginner’s Guide to Vector Search and Indexing

Practical Tips and Tricks for Developers Building RAG Applications

Stay Connected