Rise of Vector Database
With the nature of data becoming more and more intricate, and the enormous growth of Artificial Intelligence (AI) over the years, vast amount of data require efficient handling and processing. In this era dominated by AI, vector databases have emerged as an indespensible tool for storing, searching and analyzing high dimensional data vectors. Unlite Traditional databases that stores scalar values, vector databases handle multi-dimensional data points, which are vectors representing data in numerous dimensions. Advanced applications like NLP, image recognition, voice search etc use vector databases for processing.The data which includes text, images, audios and videos are transformed into vectors using machine learning models. The benefit is that searches can be performed easily according to vector proximity. For instance, searching a song that resonates with a particulat tone based on melody and rhythm.
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