In this MongoDB podcast, I walk through how to implement semantic image search using vector embeddings and MongoDB Atlas Vector Search.
In today’s booming e-commerce world, the risk of infringing on existing trademarks, copyrights, and patents has never been higher. Semantic image search makes it possible to find visually similar images and catch potential infringement automatically — and MongoDB Atlas provides everything needed to store the embeddings and run the vector search in one place.