Qdrant releases performance optimization features: distributed deployment, multitenancy, and vector quantization

AI Impact Summary

Qdrant is releasing new features focused on scaling vector search performance through distributed deployment, multitenancy, and vector quantization. These capabilities will significantly improve search speed and reduce latency, allowing Qdrant to handle billion-scale datasets. This update enables teams to optimize their existing deployments and build more scalable vector search applications.