Multi-modal models for vector search
Combining text and image classification allows for a more comprehensive understanding of relationships between multiple types of data. We’ve generated vectors for our images and learned how to search for similar images, so let’s explore what multi-modal vector search is and some practical use cases for it.
Introduction and rationale
The advent of multi-modal models has sparked a seismic shift in our understanding of data analysis and representation. Three examples where this innovative technology can be harnessed include news agencies, e-commerce websites, and social media platforms. Each of these sectors can significantly benefit from the versatility and adaptability of multimedia search, enhancing user experience and boosting their growth.
At their core, multi-modal models seek to integrate and interpret information from different types of data, such as text and images. This integrative approach allows these models to capture...
