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.
Jun 16, 2026
5m read
π 16