pgai Vectorizer is a tool that simplifies embedding management for AI applications without requiring a separate database or complex infrastructure. Since its launch, developers have created over 3,000 vectorizers on Timescale Cloud and many more self-hosted. The latest updates make it easier to work with embeddings in Python, supporting familiar application-building tools and multiple embedding providers. It now integrates with SQLAlchemy, allowing developers to store and query embeddings just like any other database column without writing raw SQL. Additionally, LiteLLM enables seamless provider swaps with a single SQL command, removing friction from switching between different embedding models. These updates make pgai Vectorizer an even more powerful tool for building AI applications inside Postgres, with plans for further enhancements to create a broader AI-native database experience.