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