Vector Database

A database designed to store and query vector embeddings — numerical representations of text, images, or other data. Vector databases enable semantic search by finding items with similar embeddings to a query. Common vector databases include Pinecone, Weaviate, Qdrant, and Chroma. They are essential components of RAG systems and AI agent memory architectures.