What are Vector Databases?

Vector databases are designed specifically for storing vector embeddings and enhance operations such as semantic search, recommendation engines, and advanced AI/ML processes. They leverage similarity metrics for data retrieval and offer benefits like scalability, flexibility, ultra-low latency, high performance, and optimized storage and memory.