What is Vector Similarity? Understanding its Role in AI Applications. - Qdrant

What this post added

This post provides a foundational explanation of vector similarity, its calculation methods (Dot Product, Cosine Similarity, Euclidean Distance, Manhattan Distance), and its significance in AI applications. It also outlines the challenges of scalability, efficiency, and security in vector similarity search and briefly mentions Qdrant's role in addressing these challenges.