AWS Machine Learning Blog

NOVEMBER 1, 2024

We tried different methods, including k-nearest neighbor (k-NN) search of vector embeddings, BM25 with synonyms , and a hybrid of both across fields including API routes, descriptions, and hypothetical questions. The FM resides in a separate AWS account and virtual private cloud (VPC) from the backend services.

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Python AI AI K-nearest Neighbors 118

AWS Machine Learning Blog

SEPTEMBER 25, 2024

The whole process is shown in the following image: Implementation steps This solution has been tested in AWS Region us-east-1. Testing the Streamlit app in a SageMaker environment is intended for a temporary demo. To set up a JupyterLab space Sign in to your AWS account and open the AWS Management Console.

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AWS K-nearest Neighbors ML ML 99

AWS Machine Learning Blog

APRIL 5, 2023

You can also use an AWS CloudFormation template by following the GitHub instructions to create a domain. By using an interface VPC endpoint (interface endpoint), the communication between your VPC and Studio is conducted entirely and securely within the AWS network. For demo purposes, we use approximately 1,600 products.

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ML ML AWS K-nearest Neighbors 121

AWS Machine Learning Blog

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

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Snorkel AI

JANUARY 26, 2023

So, we propose to do this sort of K-nearest-neighbors-type extension per source in the embedding space. For instance, if we have a labeling function for sentiment that fires on the words “awful” and “terrible,” then it’s not going to catch the word “horrible.” Thank you so much for having me.

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K-nearest Neighbors Clustering AI AI 52

Snorkel AI

JANUARY 26, 2023

So, we propose to do this sort of K-nearest-neighbors-type extension per source in the embedding space. For instance, if we have a labeling function for sentiment that fires on the words “awful” and “terrible,” then it’s not going to catch the word “horrible.” Thank you so much for having me.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52