Show HN: NeuronDB – Embeddings and vector search for PostgreSQL (github.com)

NeuronDB has launched as a PostgreSQL extension that transforms the database into an AI-powered platform, equipped with native vector search, machine learning capabilities, and an agent runtime. The system includes four integrated components: NeuronDB for database functions, NeuronAgent for AI application management, NeuronMCP for compatibility with agent frameworks, and NeuronDesktop as a unified web interface. Each component can operate independently, yet they share the same database environment, allowing for flexible deployment and easy integration of AI functionalities directly into PostgreSQL workflows. This development is significant for the AI/ML community as it offers a comprehensive solution that combines multiple AI features—such as hybrid search, embedding generation across different modalities, and GPU acceleration—into an existing SQL environment. With over 50 machine learning functions available for diverse tasks like classification and clustering, NeuronDB empowers developers to leverage their existing SQL skills without the need for complex migrations or data movement. This all-in-one platform enhances productivity and reduces friction in deploying AI applications in production settings, marking a notable advancement in database capabilities for AI-driven solutions.