Expert PostgreSQL tutorials, tips, and performance optimization guides. Learn database administration, query optimization, and best practices for PostgreSQL 18 and beyond.
Houston is the energy capital of the world. From upstream exploration and drilling to midstream pipeline operations and downstream refining, the Greater Houston area is home to thousands of oil and gas companies managing some of the most complex, data-intensive operations on the planet. In 2026, that data complexity is only growing — and PostgreSQL […]
If you’ve been paying attention to the AI landscape in early 2026, you’ve almost certainly stumbled across the name OpenClaw. It blew past 280,000 GitHub stars in just weeks, Jensen Huang called it “the new Linux” at NVIDIA GTC 2026, and developers everywhere are asking the same question: where does PostgreSQL fit into all of […]
Remember when building an AI app meant stitching together five different databases? A relational database for your core data, Pinecone for vectors, Elasticsearch for search, Redis for caching, and maybe InfluxDB if you had time-series needs. Each one with its own query language, backup strategy, and 3 a.m. pager duty incident. That era is over. […]
Retrieval-Augmented Generation (RAG) has become one of the most practical applications of AI in production systems, and PostgreSQL’s pgvector extension has emerged as a robust solution for implementing vector search. However, getting optimal results requires more than just installing pgvector and throwing embeddings at it. Let’s explore proven best practices and real-world examples to help […]
PostgreSQL has quietly crossed an important line in the last year: AI with Postgres is no longer a science project, it is genuinely competitive with specialized vector databases at production scale. From “possible” to “competitive” For a long time, the story around AI and Postgres sounded like “you can do it if you really want […]
