Unite.AI

AI Code Review for SQL: Can It Replace a Senior DBA’s Eye?

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
EurekAlert!

A cost-effective text-to-SQL approach based on adaptive refinement

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 ...

Datris.ai Launches the First Data Platform Built Around MCP as Open Source

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

SPSDN: A Security Platform for SDN Networks with an AI-based SQL Injection Attack Detection and Mitigation as An Example Service

Abstract: As Software-Defined Networking (SDN) technology continues its rapid expansion, the landscape of security vulnerabilities is expected to undergo significant evolution in the near future [3] .
GitHub

create-database-scoped-credential-transact-sql.md

[!INCLUDE [SQL Server Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics PDW FabricSQLDB](../../includes/applies-to-version/sql-asdb-asdbmi-asa-pdw ...
IEEE

IRAM-SQL: A Language Model Integrating Relation-Aware Mechanism for Text-to-SQL

Abstract: The task of text-to-SQL aims to convert natural language questions into executable SQL queries within relational databases. This greatly enhances the usability of relational database ...