How We're Bringing Postgres Into the AI Era

Timescale is enhancing Postgres to bring it into the AI era, making it easier for developers to create state-of-the-art applications without requiring new infrastructure or specialized expertise. The company has extended Postgres for real-time analytics and time-series workloads, with thousands of developers across various industries relying on Timescale for seamless, data-intensive applications. Now, as AI reshapes application development, Timescale is taking Postgres even further by enabling developers to bring AI capabilities directly into their database. Key features include the Pgai Vectorizer for automating AI embeddings with one SQL command in Postgres, SQL Assistant for real-time support and optimization of SQL writing, debugging, and optimization, Foreign Data Wrappers for unified data access across distributed systems, and Chunk Size Recommendations for optimizing performance. These tools are designed to help developers build faster, smarter applications with fewer obstacles.