Abstract: Current Text-to-SQL methods are evaluated and only focused on executable queries overlooking the semantic alignment challenge both in terms of the semantic meaning of the query and the ...

The app lets a user connect a local SQLite database or upload CSV files, ask a plain-English question, and receive a table of results. The LLM only receives schema metadata, not raw database rows. The ...

Sub-headline: BUPT researchers introduce SEA-SQL to tackle complex SQL generation via adaptive bias elimination and execution feedback. A significant technical pain point in the Text-to-SQL task is ...

Microsoft says Agent Framework 1.0 is the production-ready release, with stable APIs and long-term support for both .NET and Python. The framework is presented as a unified successor path that builds ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

A comprehensive SDK for creating and managing AI agents powered by Microsoft Semantic Kernel with MCP (Model Context Protocol) server integration. Build sophisticated conversational agents with tool ...

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 ...