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

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Vector data is a type of data that represents a point in a high-dimensional space. This type of data is often used in ML and artificial intelligence applications. MongoDB Atlas Vector Search uses a technique called k-nearest neighbors (k-NN) to search for similar vectors.

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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

Amazon SageMaker geospatial capabilities combined with Planet ’s satellite data can be used for crop segmentation, and there are numerous applications and potential benefits of this analysis to the fields of agriculture and sustainability. Xiong Zhou is a Senior Applied Scientist at AWS. Shital Dhakal is a Sr.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. Prior to AWS, he obtained his MCS from West Virginia University and worked as computer vision researcher at Midea. These plays could potentially be mislabeled and deserve manual inspection.

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