DeepMind Exposes Fundamental Flaw in Single-Vector Retrieval Systems
Google DeepMind's groundbreaking paper formally proves embedding-based retrieval hits inherent combinatorial limitations at scale. The research demonstrates why single-vector architectures inevitably fail complex queries, forcing a paradigm shift toward hybrid and multi-vector approaches for production systems.