From the course: Introduction to AI-Native Vector Databases

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Drawing out and visualizing vector representations of data

Drawing out and visualizing vector representations of data

From the course: Introduction to AI-Native Vector Databases

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Drawing out and visualizing vector representations of data

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In the last video, we explained how humans understand data and how this differs from how computers process the very same data as vectors. Now we'll get a better understanding of what these vectors actually look like. Let's start by posing a question. How would you represent this magenta-colored image as a vector? We could break down the color into three pieces of information. How much red do we need to paint this color? Call that the R number. How much green do we need to paint this color? Call that the G number. How much blue do we need to paint this color? The B number. We've just represented an image of the color magenta as three numbers: R, G, and B, or in other words, as a three-dimensional vector. This is a simple example of converting from a human understandable to a machine understandable format of data. Let's do another color, violet. If we just reduce the amount of red in magenta, or in other words, decrease the red number a little bit, we end up with violet. Let's do one…

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