In the rapidly evolving landscape of machine intelligence and natural language comprehension, multi-vector embeddings have emerged as a transformative method to capturing complex data. This innovative framework is redefining how machines understand and handle linguistic content, offering unmatched functionalities in multiple applications.Convention