Vector Database Explained: Uses and Examples

A vector database stores and queries high-dimensional vector embeddings for similarity search. It powers AI applications like semantic search, recommendation systems, and retrieval-augmented generation. Examples include Pinecone, Weaviate, and Qdrant for managing unstructured data efficiently.