How is the vector metadata stored in Oracle AI Vector Search?

The vector metadata in Oracle AI Vector Search is stored in the Vector Pool. This storage mechanism is designed to efficiently manage and retrieve vector embeddings associated with various data points, ensuring quick access during search and query operations. The Vector Pool serves as a dedicated repository, which enhances performance and scalability for searching and working with high-dimensional vector data. By organizing and managing vector embeddings in this specific way, Oracle optimizes the retrieval process, which is crucial for applications relying heavily on machine learning and AI technologies.

Using dedicated storage like the Vector Pool allows for better management of the underlying data structures as opposed to temporary storage or external systems, which may introduce latency or additional complexity in data handling.