The Postgres vector search extension, pgvector, has improved its index build time by a factor of 30 with the introduction of parallel index builds for the Hierarchical Navigable Small World (HNSW) index in version 0.6.0. This feature is particularly useful for large datasets and applications that require efficient vector search capabilities, such as semantic search and Retrieval Augmented Generation (RAG). With Neon's serverless Postgres offering, developers can scale their database resources according to their needs, allocating more resources for index builds when necessary and scaling down to optimize costs. The parallel index build process has negligible impact on recall performance, making pgvector 0.6.0 a significant leap forward in the vector search space.