Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Build Securely on Azure with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
I am often asked to start a new Selenium (http://seleniumhq.org/) test automation project. Reinventing the wheel each time sucks. Everything in this SF project are various tips & tricks that I figured out over time. Each of the files under net.sourceforge.sebase.demos is a proof of concept (POC) to get a different technology to work with Selenium.
This project is a java web application developer toolbox. It is among other, a simple and powerful framework which does not require dealing with XML files. It also provides a lot of other features, such as a DB abstraction layer, a nice javadoc doclet, a
FTF (for Flexible Testing Framework) is a modular framework for testing, both automatic and manual, and quality assurance. FTF initial development has been done in the EDOS project, to support Linux distributions testing.