Databricks Runtime Introduces NEAREST BY: Native SQL Vector Search at Scale
dev.to
Vector search has become a foundational building block for retrieval-augmented generation (RAG), recommendation systems, semantic matching, and AI-powered data applications. But there is an architectural detail that is easy to overlook: not every vector-search workload is an online serving problem. Sometimes you need to match millions of query vectors against a large collection of embeddings in a scheduled job. You might be matching transactions to merchants, finding similar products, resolvin