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NOVEMBER 17, 2023

MongoDB Atlas Vector Search uses a technique called k-nearest neighbors (k-NN) to search for similar vectors. k-NN works by finding the k most similar vectors to a given vector. About the authors Igor Alekseev is a Senior Partner Solution Architect at AWS in Data and Analytics domain.

K-nearest Neighbors 170

K-nearest Neighbors AWS Clustering Database 170

AWS Machine Learning Blog

APRIL 19, 2024

We perform a k-nearest neighbor (k-NN) search to retrieve the most relevant embeddings matching the user query. He is also an adjunct lecturer in the MS data science and analytics program at Georgetown University in Washington D.C. An OpenSearch Service vector search is performed using these embeddings.

AWS 121

AWS ML ML Database 121

AWS Machine Learning Blog

DECEMBER 10, 2024

We performed a k-nearest neighbor (k-NN) search to retrieve the most relevant embedding matching the question. Prior to joining AWS, Archana led a migration from traditional siloed data sources to Hadoop at a healthcare company. Archana is an aspiring member of the AI/ML technical field community at AWS.

AWS 96

AWS K-nearest Neighbors Database ML 96