vector database comparison

Vector database landscape: when you need them vs PostgreSQL Vector databases are designed for similarity search on embeddings—turning unstructured data like text, images, or audio into searchable numeric vectors. They support operations like nearest neighbor search (kNN) with speed and scale that relational databases can’t match natively. You need a dedicated vector DB when: PostgreSQL […]