Retrieval-Augmented Generation (RAG) systems are transforming the way we interact with large-scale language models by integrating external knowledge retrieval into the generation process. But as powerful as RAG is, it comes with its own performance challenges, especially when working with massive datasets and high query volumes. One way to make RAG faster and more efficient?…
This article explores three key areas: Generative AI and its patterns, the Retrieval-Augmented Generation (RAG) framework, and AWS’s role in supporting this journey. What is Generative AI? Generative AI is a type of artificial intelligence focused on the ability of computers to use models to create content like images, text, code, and synthetic data. The…
I am sure you can relate to preparing sheets of information about the number of employees in your team, and how the budget is allocated through projects/tasks in your current or previous roles. It is not far you will have to add another dimension to it, how many of them are human and how many…
Throughout the history of technology, we’ve witnessed the evolution of software applications—from massive monolithic servers to sleek microservices and miniaturized platforms. History, indeed, has a way of repeating itself, and Generative AI is no exception to this cyclical progression. Today when you consume ChatGPT, Gemini, CoPilot the intelligence comes from the centralized computing: Consuming Large…
150 million – That’s the total number of credit card transactions processed by the banking industry each day in the US(1). When expanded over a year, this volume escalates to approximately 54.8 billion transactions(1). This immense flow of funds requires financial institutions to operate at an extraordinary pace, where delays are not just undesirable, they…
We are seeing many high-powered Gen AI tools these days, but having access to these tools is one thing; knowing how to weave them seamlessly into an organization’s fabric is another. That’s the million-dollar question we asked our Chief Digital Officer, Davinder Kohli. Lucky for us, he didn’t just have answers; he had a strategy…
Did you know that when Uber first hit the streets in 2014, it was running its tiny application on what tech folks call a ‘monolithic architecture’. Think of it like a one-man band, playing all the instruments to give us those handy ride-hailing services. Fast forward 10 years, and this little app has morphed into…
120 zettabytes of data is produced each day! This includes the data generated by rovers on Mars to your latest vacation posts on Instagram. Google alone processes a staggering 1.2 trillion searches every year. A couple of weeks ago, Netflix published viewership statistics for over 18,000 titles, watched by 247 million households in the first half of…
Did you know that Netflix’s impressive backend infrastructure stretches across 18,000 servers in over 6,000 locations worldwide, spanning 175 countries? And that’s not all – Amazon operates a staggering 1.5 million servers, with some of their AWS data centers housing up to 50,000 servers each. This massive scale is a response to the ever-growing surge…
The Journey from Monolithic to Modular In the realm of software development, there’s been a significant paradigm shift. We’ve moved from the monolithic architectures of yesteryear—think of them as the all-in-one toolkits—to the sleek, compartmentalized world of microservices. This transition isn’t just a change in technology; it’s a strategic pivot that’s reshaping how we approach…