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Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

Microsoft has announced that SQL Server Integration Services (SSIS) is now officially supported in the latest SQL Server Management Studio (SSMS) 22 Preview 3. This release is quite important for ...

MongoDB remains a compelling buy as AI-driven demand accelerates growth and justifies its recent rally. MDB's non-relational database is emerging as a core component for AI app development, attracting ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

Claude 4 finally launched after long delays, crushing GPT-4.1 and Gemini 2.5 Pro on SWE-bench coding benchmarks. The new models can code autonomously for up to 7 hours and handle nearly 1 million ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...