Leveraging Namespacing in Vector Databases with Pinecone Vector databases have become a cornerstone in managing complex, multidimensional data, especially in fields like machine learning and recommendation systems. One of the critical features that enhance the functionality of vector databases is namespacing. Today, we’re going to explore how namespacing in Pinecone, a leading vector database service, can revolutionize the way you handle and query your data. Understanding Namespacing in Vector Databases Namespacing in a vector database like Pinecone is a method to partition your data within an index.