In today's world of information overload, finding relevant and meaningful content quickly is more important than ever. Enter vector embeddings, the unsung heroes of semantic search and modern-day information retrieval. Vector embeddings have numerous applications in software development, such as sentiment analysis, machine translation, semantic search, document clustering,