Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...
KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...
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 ...
Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...
Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today ...
The Visual Query Builder in DBeaver is a visual tool that helps you build and understand SQL queries in complex databases. It lets you work with your database in a visual way, making it easy to see ...
该智能体主要依赖LLM的结构化理解能力和SQL生成能力。 def __init__(self, model_type: str = "qwen-max-2025-01-25@qwen-vl-max-2025-01-25", agent_name ...
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