AWS Machine Learning Blog

FEBRUARY 5, 2025

The following diagram illustrates the data pipeline for indexing and query in the foundational search architecture. Ingest Pipeline With ingest pipelines, you can process, transform, and route data efficiently, maintaining smooth data flows and real-time accessibility for search.

K-nearest Neighbors 80

K-nearest Neighbors Machine Learning Machine Learning Database 80

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.

SQL 126

SQL AWS Analytics Analytics 126

DagsHub

DECEMBER 23, 2024

They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN).   Provides a Python API for customization and integration with existing ML pipelines. Works well with small datasets and models with fewer parameters.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52