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