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