What is a vector database and how is it used in generative AI applications? How do vector databases store and retrieve high-dimensional embeddings from AI models? What types of tasks, such as semantic search or recommendation systems, benefit from vector databases? How do vector databases differ from traditional relational databases in handling AI data? What are the advantages and limitations of using vector databases in generative AI workflows?