One of the main challenges in implementing Radius Nearest Neighbors is the computational complexity involved in searching for nearest neighbors, especially in high-dimensional spaces. This can lead to slow query times and high memory usage. Several approaches have been proposed to address this issue, including tree-based methods, sorting-based methods, and grid-based methods, each with its own advantages and drawbacks.