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.

I often wonder about Steve Wozniak’s claim that the first computers were built to help “common people rise.” Correlating the evolution of software with the upheaval of our human society brings a very hopeful sentiment. Now, software engineering methodologies cater to more nuanced requirements of our “rising,” such as allowing space to correct mistakes (agility) and openness to feedback (adaptability).

See the GitHub repository for the source code of this article’s example project. Serverless is a popular framework to build serverless apps using AWS Lambda on the Node.js runtime. Serverless automatically orchestrates necessary resources on AWS and can scaffold a basic project for you that you can build up on. You can solely focus on your application’s core logic, development, and your Lambda functions.

In the biotech industry, where precision, compliance, and user experience are critical, even minor technical glitches can have significant consequences. A leading biotech company specializing in rare diseases faced this very challenge when updating its web-based Request Management System (RMS). The RMS is crucial for managing requests, ensuring compliance with industry regulations, and providing users with a seamless experience.

While still in its early days, artificial intelligence is becoming a driving force behind innovation in software testing. While automation has improved testing efficiency, AI can take it further by influencing critical decision-making. Rather than reacting to issues as they arise, teams can now identify potential problems earlier in the development cycle. In this article, we’ll explore how artificial intelligence can help teams rethink their testing strategies.

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.