In the realm of information retrieval, vector embeddings have emerged as a powerful tool for representing data in a multi-dimensional space. These mappings capture the structural relationships between items, enabling precise querying based on relevance. By leveraging methods such as cosine similarity or nearest neighbor search, systems can retrieve