Machine learning (ML), AI and endless streams of data are reshaping how we solve problems. But when it comes to working with unstructured data like images, audio or text embeddings, traditional databases often fall short. That’s where vector databases come in. They’re built to store, index and search high-dimensional vectors quickly and efficiently.
When platforms recommend the perfect video, find similar products or match faces with incredible accuracy, vector databases are likely doing the hard work behind the scenes. This guide will…
