WHAT IS A VECTOR DATABASE?
Many AI applications that involve large language models or generative AI rely on vector embeddings, a type of data representation that carries within it semantic information that’s critical for the AI to gain understanding and maintain a long-term memory they can draw upon when executing complex tasks. Vector databases offer optimized storage and querying capabilities for embeddings. They have the capabilities of a traditional database that are absent in standalone vector indexes and the specialization of dealing with vector embeddings, which traditional scalar-based databases lack.