A vector database is designed to store and manage high-dimensional data, grouping vectors based on their similarities. These databases use advanced indexing and search algorithms to find the most similar vectors to a given query quickly. Examples of vector databases include CrateDB, Pinecone, Zilliz, and Weaviate. CrateDB excels as a vector store database with features like vector storage and similarity search. If you want to learn more, read this blog post on how to choose the best database for vector data.