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 semantic relationships between items, enabling precise querying based on relevance. By leveraging techniques such as cosine similarity or nearest neighbor search, systems can ret… Read More