Postgres with its pgvector extension provides a convenient entry point for basic vector similarity search but falls short compared to purpose-built vector databases like Milvus, especially when handling large-scale applications and complex search requirements. Purpose-built vector databases like Milvus are designed to handle high-dimensional embeddings easily and offer blazing fast search performance, effortless scalability, comprehensive feature sets, optimized designs for the future of data, and continuous innovation. The choice between pgvector and Milvus represents a strategic investment in an application's future scalability, with tools like VTS streamlining the migration process from pgvector to Milvus.