Hadoop and K-nearest Neighbors - Data Science Current

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

Flipboard

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. Vector data is a type of data that represents a point in a high-dimensional space.

K-nearest Neighbors

K-nearest Neighbors AWS Clustering Database

Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 2

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. Prior to joining AWS, Archana led a migration from traditional siloed data sources to Hadoop at a healthcare company. An OpenSearch Service vector search is performed using these embeddings.

AWS

AWS ML ML Database

Talk to your slide deck using multimodal foundation models on Amazon Bedrock – Part 3

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

AWS K-nearest Neighbors Database ML

Data Science Current

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 2

Talk to your slide deck using multimodal foundation models on Amazon Bedrock – Part 3

Webinars

Stay Connected