Modern AI systems increasingly rely on multimodal data: text,
images, documents, audio, and video. Among these modalities,
image understanding has become one of the most important
capabilities for AI-powered applications.
Traditionally, implementing these capabilities required
specialized computer vision infrastructure, external vector
databases, custom ML pipelines, and multiple frameworks.
With MySQL HeatWave GenAI, many of these capabilities can now be
implemented directly inside SQL workflows using built-in AI
routines.
In this article, we will build the foundations of a Vision Model
Evaluation Assistant using MySQL HeatWave GenAI. The objective is
not to create another image classifier, but rather a semantic
image understanding platform.
The post Building an AI Vision Search Engine with MySQL …
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