Vector Database
A database optimized for storing and searching embeddings at high speed.
Vector databases (Pinecone, Weaviate, Qdrant, pgvector) store embeddings and allow similarity searches in milliseconds across millions of documents. They are the core of RAG and modern semantic search.
Practical examples
- Pinecone (managed)
- Qdrant (self-hosted)
- pgvector (PostgreSQL extension)
- Weaviate (open-source)