One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Your role will be to develop code ensuring that it meets the defined criteria for software testing, and produce software builds for loading onto target hardware from software source code within system ...

We are seeking a DevOps Engineer with strong experience in CI/CD, release automation, cloud infrastructure, and operational support across development, test, and production environments. You will be ...

Enterprise teams increasingly rely on AI systems for analytics, but enterprise data workflows are often fragmented across storage systems and tools. Before analysis can begin, teams often need to ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Abstract: Modern RAG and agent systems execute reasoning outside the database and treat the database as a passive store. Evidence retrieval, intermediate state, and final decisions do not commit under ...

Never get the hang of a SQL parser? SQLLineage comes to the rescue. Given a SQL command, SQLLineage will tell you its source and target tables, without worrying about Tokens, Keyword, Identifier and ...

This is a fork authored by the OpenMetadata community, where we are adding sqlfluff as a parsing backend instead of sqlparse. Never get the hang of a SQL parser? SQLLineage comes to the rescue. Given ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

We’ll start with the most far-reaching addition, which the spec describes as “a new Iterator global with associated static and prototype methods for working with iterators.” The most exciting part of ...