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