There Are Different Types Of Vector Databases

Besides storing vectors, vector databases offer several essential data management capabilities. These include efficient metadata storage, real-time data changes, granular access control, resource allocation for performance, concurrency management, and elastic scale. Vector databases have built-in search capability that quickly delivers optimized and relevant results, especially with complex data sets such as image, video, and audio. In addition, vector databases support pretrained embeddings of data such as word or image embeddings to provide fast access to support ML models. And its ability to store and process high-dimensional data efficiently allows it to find patterns and relationships invisible to non-vector databases.