RIP, vector database

Vector databases are a type of database that stores data as vectors of numerical values, allowing for efficient similarity searches. They are often used in applications such as natural language processing, recommendation systems, and computer vision. According to the article, vector databases are being replaced by other technologies such as graph databases and columnar databases, due to their limitations in handling complex queries and data relationships. The author cites the example of a company that moved from a vector database to a graph database, resulting in a 10x improvement in query performance. The article concludes that vector databases are no longer a viable solution for most use cases and are being phased out in favor of more flexible and scalable technologies.