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A Primer on Vector Similarity Search

Pavan Belagatti talks vectors:

In the realm of generative AI, vectors play a crucial role as a means of representing and manipulating complex data. Within this context, vectors are often high-dimensional arrays of numbers that encode significant amounts of information. For instance, in the case of image generation, each image can be converted into a vector representing its pixel values or more abstract features extracted through deep learning models.

These vectors become the language through which AI algorithms understand and generate new content. By navigating and modifying these vectors in a multidimensional space, generative AI produces new, synthetic instances of data — whether images, sounds or text — that mimic the characteristics of the original dataset. This vector manipulation is at the heart of AI’s ability to learn from data and generate realistic outputs based on that learning.

Read on for a high-level overview of the topic.