The exponential growth in data generated by IoT devices and digital services necessitates advanced solutions that can efficiently manage, analyze, and derive insights from diverse data types. In this talk, we explore the integration of InfluxDB, a time-series database, with Milvus, a vector database, to create a powerful hybrid data management system capable of handling both time-series and vector data in a unified architecture to detect anomalies in our time series database.