To put it simply, if AI is the car that is driving the future of innovation, data is the energy source, and how we store that data matters.
As the AI business continues to grow, it is no surprise that we are seeing specialty vector databases become popular. Although SVDB systems are less flexible than general systems, they are effective for various applications such as search engines, video and photo analysis and indexing. In other words, vector databases are like a specialty store that provides a specific type of services to customers.
As the buzz around SVDBs continues to grow, companies should also consider the role of general-purpose databases—a Swiss Army knife model—which perform vector functionsother query capabilities. General-purpose databases allow you to combine multiple capabilities within the same query. This allows vector search results to be refined with other criteria to give more accurate results.
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