Scaling Vector Similarity Search with pgvector and Supabase in 2025

As generative AI applications mature, having vector databases tightly coupled with relational application data is becoming the industry gold standard. By utilizing pgvector on Supabase with HNSW indexing, queries on millions of 1536-dimensional embeddings can execute in sub-10ms latency while preserving row-level security.