Vector Databases

Embedding Similarity Scores That Lie: Why High Cosine Scores Miss Intent

High cosine similarity scores don't always mean semantic relevance. Learn why embedding-based search can miss user intent, how false positives occur, and the techniques used to improve retrieval accuracy in AI systems.