Unlock Advanced Recommendation Engines with Milvus' New Range Search

Milvus, an open-source vector database, has introduced a new feature called Range Search to enhance its similarity search capabilities. This feature allows developers to specify a distance range for relevant vectors in their searches, addressing limitations of traditional KNN searches in recommendation systems where results can be either too similar or too diverse. The technical architecture and usage guide for Range Search are outlined, along with details on when to use it over Top-K search. The feature is not limited to recommendation engines but has broader applications in areas like content matching, anomaly detection, and NLP search tasks. It is now available for public preview on Zilliz Cloud.