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.,

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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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AWS Machine Learning Blog

FEBRUARY 13, 2025

Caching is performed on Amazon CloudFront for certain topics to ease the database load. Amazon Aurora PostgreSQL-Compatible Edition and pgvector Amazon Aurora PostgreSQL-Compatible is used as the database, both for the functionality of the application itself and as a vector store using pgvector. Its hosted on AWS Lambda.

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AWS Machine Learning Blog

APRIL 3, 2024

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality. These steps are completed prior to the user interaction steps.

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K-nearest Neighbors AWS Machine Learning Machine Learning 137

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. Download the code!

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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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AWS Machine Learning Blog

FEBRUARY 25, 2025

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests.

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