PyImageSearch

MAY 19, 2025

In this tutorial, well explore how OpenSearch performs k-NN (k-Nearest Neighbor) search on embeddings. Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. OpenSearch uses k-Nearest Neighbors (k-NN) search to find the most similar embeddings in the dataset.

K-nearest Neighbors 91

K-nearest Neighbors AWS Deep Learning Deep Learning 91

Flipboard

MAY 5, 2025

Amazon OpenSearch Service is a fully managed solution that simplifies the deployment, operation, and scaling of OpenSearch clusters in the AWS Cloud. Figure 2 : Amazon OpenSearch Service for Vector Search: Demo Key Features of AWS OpenSearch Scalability: Easily scale clusters up or down based on workload demands.

AWS 119

AWS Clustering Deep Learning Deep Learning 119

PyImageSearch

MAY 12, 2025

e "discovery.type=single-node" : Runs OpenSearch as a single-node cluster (since were not setting up a distributed system locally). You should see details about cluster health, the number of nodes, and the OpenSearch version. You should see details about cluster health, the number of nodes, and the OpenSearch version.

AWS 74

AWS K-nearest Neighbors Deep Learning Deep Learning 74

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 61

Database K-nearest Neighbors Machine Learning Machine Learning 61