Vectorization is important in credit scoring and loan risk analysis because it transforms complex, diverse financial data into numerical formats that machine learning models can efficiently ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.