Background Information
A vector database is a specialized type of database designed to store, index, and retrieve vector embeddings efficiently. Vector embeddings are numerical representations of data (text, images, audio) that capture their semantic meaning. These databases are crucial for applications involving similarity search, recommendation systems, and natural language processing.

What is a Vector Database?

Vector databases store and manage high-dimensional vectors, allowing for efficient similarity searches and retrieval. They use advanced algorithms to index and query these vectors, enabling rapid and accurate data retrieval based on semantic similarities.