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.

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Towards AI

FEBRUARY 19, 2025

Last Updated on February 20, 2025 by Editorial Team Author(s): Afaque Umer Originally published on Towards AI. Vector Databases 101: A Beginners Guide to Vector Search and Indexing Photo by Google DeepMind on Unsplash Introduction Alright, folks! Traditional databases? 😎🔥 Section 1: What is a Vector Database?

Database 61

Database K-nearest Neighbors Machine Learning Machine Learning 61

Towards AI

APRIL 23, 2025

Last Updated on April 24, 2025 by Editorial Team Author(s): James Luan Originally published on Towards AI. The general perception is that you can simply feed data into an embedding model to generate vector embeddings and then transfer these vectors into your vector database to retrieve the desired results.

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K-nearest Neighbors Database ETL Machine Learning 58

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. This includes: Creating a sample index. Uploading sample text embeddings or documents.

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PyImageSearch

JANUARY 27, 2025

Home Table of Contents Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH) What Is Locality Sensitive Hashing (LSH)? Refinement: The candidate set is then refined by computing the actual distances between the query point and the candidates to find the approximate nearest neighbors. Huot, and P. Thakur, eds.,

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PyImageSearch

MAY 12, 2025

Powering Neural Search : Enables advanced similarity-based retrieval using OpenSearchs k-NN (k-Nearest Neighbors) indexing. An index in OpenSearch is similar to a database table it defines how data is structured and stored. It then initializes an OpenSearch client to connect to the database. What's next?

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AWS K-nearest Neighbors Deep Learning Deep Learning 74