I wonder how their advertised "vector database" works. kNN combined with embeddings from pre-trained deep learning models can be very useful for information retrieval, (e.g. searching for duplicate/similar images or text).
In the past I have used a k-d tree [1] for this, which allows O(log n) searches in the vector space. It seems they are offering a k-d-tree-as-a-service.
In the past I have used a k-d tree [1] for this, which allows O(log n) searches in the vector space. It seems they are offering a k-d-tree-as-a-service.
[1] https://en.wikipedia.org/wiki/K-d_tree