Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

Threat actors have started exploiting CVE-2026-21643, a critical vulnerability in Fortinet FortiClient EMS leading to remote ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...

Overview Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

The path traversal flaw, allowing access to arbitrary files, adds to a growing set of input validation issues in AI pipelines.

The FBI doesn't need AI to conduct mass surveillance — it just needs access to the commercial data infrastructure that already blankets everyday life. The Guardian's report reveals that the real ...