Ai.embed() and ai.classify() as IMMUTABLE Postgres functions. AI-coded for $127 (insert.dev)

A new PostgreSQL extension, ai-native-pg, introduces ai.embed() and ai.classify() as IMMUTABLE functions that enable local inference via ONNX Runtime without external API calls. This innovative approach transforms how embeddings and classifications are generated by integrating them directly into the database schema. By eliminating the need for application-side logic, every insert operation automatically generates embeddings and sentiment labels, ensuring data consistency and simplifying application design. This development is significant for the AI/ML community as it represents a shift from traditional embedding management, which often relies on external model calls, to a more streamlined SQL-based approach. The AI-assisted coding process, which cost only $127, highlights the potential for AI to accelerate development while maintaining human oversight on design and correctness. The extension utilizes a deterministic ONNX embedding model that ensures reliable results across database transactions, thereby enhancing performance and efficiency in data processing. The project redefines AI integration within databases, showcasing how AI can enhance schema-level operations, making it an impactful contribution to the evolving landscape of machine learning applications.