Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...

Abstract: Approximate nearest neighbor search (ANNS) is crucial in many applications to find semantically similar matches for user queries. Especially with the development of large language models ...

Vicinity is a light-weight, low-dependency vector store. It provides a simple and intuitive interface for nearest neighbor search, with support for different backends and evaluation. There are many ...