by lucent | Sep 20, 2026 | Math, Optimization, Retrieval |
Cosine similarity measures how closely two nonzero vectors point in the same direction. It compares their orientation rather than their length, producing a score between −1 and 1. In text retrieval, those vectors often represent a search query and a passage of text....
by lucent | Aug 15, 2026 | Math, Optimization, Retrieval |
Vector similarity is a way to estimate how closely two numerical representations resemble one another. In search and AI systems, those numerical representations often encode text, images, audio, products, users, or other entities as vectors. When two vectors are near...
