Two vectors are orthogonal when they meet at a perfect right angle — their dot product is zero. This simple idea is the foundation for one of the most powerful tools in linear algebra: projection. By projecting a vector onto a line or a subspace, we can split it into two perpendicular pieces. That trick is central to data fitting, signal processing, and machine learning.