CData Software today launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData ...
mssql-python is a Python driver for Microsoft SQL Server and the Azure SQL family of databases. It leverages Direct Database Connectivity (DDBC) that enables direct connections to SQL Server without ...
Anthropic says it won't fix an SQL injection vulnerability in its SQLite Model Context Protocol (MCP) server that a researcher says could be used to hijack a support bot and prompt the AI agent to ...
Docker is commonly used for server-side and command-line apps. However, with the right setup, you can also run GUI-based applications inside containers. These containers can include GUI libraries and ...
SQL skills are essential for high-demand roles like data analyst, business analyst, data scientist, software developer, and database administrator. Mastering SQL enables professionals to efficiently ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI Before running the Python code, ensure your local LLM system is up and running. Most ...
A public preview of SQL Server 2025 adds new vector capabilities already found in rival databases, along with JSON support and change event streaming. Microsoft is moving SQL Server 2025 into public ...
Community driven content discussing all aspects of software development from DevOps to design patterns. One trait all full-stack developers share is agility. Every tech organization understands that ...
HANDS ON Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.
One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...
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