Systems | Development | Analytics | API | Testing

As organizations increasingly seek to enhance decision-making and drive operational efficiencies by making knowledge in documents accessible via conversational applications, a RAG-based application framework has quickly become the most efficient and scalable approach. As RAG-based application development continues to grow, the solutions to process and manage the documents that power these applications need to evolve with scalability and efficiency in mind. Until now, document preparation (e.g.

Did you know that 72% of SaaS companies plan to adopt usage-based pricing in the near future? It shows a growing demand for flexible, consumption-based billing models. If you want your business to stay ahead of the curve, you need the right tools to capitalize on this trend. Metered billing aligns revenue with customer consumption. It offers numerous benefits like improved customer satisfaction, increased trust, and reduced churn.

Measuring throughput and latency is a critical step in load testing software to ensure application performance and stability. In this article, we’ll discuss essential considerations before beginning performance testing and provide a detailed, step-by-step guide on leveraging production traffic replication in Kubernetes. This approach helps you accurately determine your software’s maximum throughput during performance testing.

Application programming interfaces (APIs) do a lot of behind-the-scenes work that you might never notice. When you look at the weather forecast on your smartphone, you get updated info because of an API. You rely on APIs when you sign into your email account, get driving directions, and book airplane tickets.

Every business handles numerous document types—contracts, purchase orders, reports, invoices—you name it. And the thing about documents? They never look the same. One day, you’ve got a well-organized PDF with neatly labeled sections, making it easy to find what you need. The next, you’re stuck with a document that’s all over the place—random tables, text scattered everywhere, or even a scanned image that doesn’t fit the mold.

Every device, transaction, and interaction in our digital world generates an endless stream of data. By 2025, the amount of global data is expected to reach a mind-boggling 180 zettabytes. So, how do we extract and make sense of this growing data? That’s exactly where generative AI proves its value. This blog explains generative AI applications for document extraction and how this technology helps cut through the noise and zero in on exactly what you need.

Throughout my career in enterprise technology, I've witnessed numerous transformations play out across the Asia-Pacific (APAC) region. But the shift we're seeing now with data streaming is truly unprecedented. What was once a supportive technology is rapidly becoming the very foundation of modern business in our region.

We are now in the final chapter of Apache Kafka’s multi-year journey to remove Apache ZooKeeper and fully transition to self-managed metadata in KRaft. Many Kafka users and customers are beginning to migrate to KRaft and are eager to understand its performance characteristics in production environments.

Here’s an easy-to-understand and straight-to-the-point guide to take a screenshot in Selenium. Make sure that you have already installed a Selenium library. If you haven't, you can have a look at Selenium documentation to see how. All good? Let's get going!

Equivalence Partitioning, also known as Equivalence Class Testing, is a powerful black-box testing technique designed to streamline testing by minimizing the number of test cases while ensuring comprehensive coverage. This approach is widely used to make testing more efficient without sacrificing effectiveness. Let’s learn more about how it’s done!