Retrieval-Augmented Generation (RAG) is rapidly becoming the backbone of modern, enterprise-grade AI systems. It enables Large Language Models (LLMs) to deliver accurate, up-to-date, and trustworthy
Retrieval-Augmented Generation (RAG) is rapidly becoming the backbone of modern, enterprise-grade AI systems. It enables Large Language Models (LLMs) to deliver accurate, up-to-date, and trustworthy
When designing software, choosing the right architecture is crucial. Monolithic Architecture and Modular Monolithic Architecture are often confused; both deploy as single applications but differ significantly. Monolithic architecture is a single, tightly coupled unit, making early development simple but harder to maintain and scale as complexity grows. In contrast, Modular Monolithic Architecture features well-defined modules, facilitating refactoring and easier maintenance while still deploying as one application. It is increasingly favored for growing projects because it allows for scalability without the complexities of microservices. Choosing between them depends on application size and long-term growth plans.
As artificial intelligence continues to evolve, large language models (LLMs) are becoming more powerful — but also more dependent on external tools, data, and services.
For years, Java developers have been told the same story: “Concurrency is hard — but powerful.” We accepted it. We learned thread pools, executors, synchronization,
If you’ve ever wondered how major platforms like Netflix, Amazon, or Instagram deliver content so quickly, the answer is simple: CDNs—Content Delivery Networks. As digital
The Java platform keeps evolving at a remarkable pace. With new releases arriving every six months, the language and runtime are constantly expanding with fresh
Artificial Intelligence is evolving fast, but one challenge remains constant: how to give AI models the right context at the right time. As models become
In the last few years, “microservices” has become one of the most talked-about architectural patterns in software engineering. But despite the hype, many teams still