A robust, cross-platform command-line tool for extracting complete SQL Server database schemas, stored procedures, and seed data. 🚀 Production-Tested: Successfully extracts enterprise databases with ...
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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.
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...
Code for paper: Resolving Ambiguities in Text-to-SQL Systems We propose the RAQS-SQL framework to Resolve Ambiguities in QuestionS for Text-to-SQL system. To handle schema-level ambiguity, we use a ...