PyImageSearch

DECEMBER 23, 2024

Or think about a real-time facial recognition system that must match a face in a crowd to a database of thousands. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. Imagine a database with billions of samples ( ) (e.g., Traditional exact nearest neighbor search methods (e.g.,

K-nearest Neighbors 118

K-nearest Neighbors Algorithm Deep Learning Deep Learning 118

Flipboard

JANUARY 24, 2025

He leads the product initiatives for AI and machine learning (ML) on OpenSearch including OpenSearchs vector database capabilities. Dylan has decades of experience working directly with customers and creating products and solutions in the database, analytics and AI/ML domain.

K-nearest Neighbors 145

K-nearest Neighbors ML ML Algorithm 145

PyImageSearch

MAY 19, 2025

In this tutorial, well explore how OpenSearch performs k-NN (k-Nearest Neighbor) search on embeddings. How OpenSearch Uses Neural Search and k-NN Indexing Figure 6 illustrates the entire workflow of how OpenSearch processes a neural query and retrieves results using k-Nearest Neighbor (k-NN) search.

K-nearest Neighbors 91

K-nearest Neighbors AWS Deep Learning Deep Learning 91

Flipboard

FEBRUARY 7, 2025

This post shows you how to set up RAG using DeepSeek-R1 on Amazon SageMaker with an OpenSearch Service vector database as the knowledge base. Jon holds a Bachelor of the Arts from the University of Pennsylvania, and a Master of Science and a Ph. in Computer Science and Artificial Intelligence from Northwestern University.

Database 86

Database AWS Python ML 86

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Flipboard

MAY 5, 2025

In this series, we will set up AWS OpenSearch , which will serve as a vector database for a semantic search application that well develop step by step. 1 Creating a Sample Index An index in OpenSearch is like a database table where data is stored. Or requires a degree in computer science? Thats not the case.

AWS 119

AWS Clustering Deep Learning Deep Learning 119

AWS Machine Learning Blog

FEBRUARY 25, 2025

Instead of treating each input as entirely unique, we can use a distance-based approach like k-nearest neighbors (k-NN) to assign a class based on the most similar examples surrounding the input. To make this work, we need to transform the textual interactions into a format that allows algebraic operations.

Algorithm 85

Algorithm Machine Learning Machine Learning K-nearest Neighbors 85