For the last couple of years, Retrieval-Augmented Generation (RAG) architectures have become a rising trend for AI-based applications. Generally speaking, RAG offers a solution to some of the limitations in traditional generative AI models, such as accuracy and hallucinations, allowing companies to create more contextually relevant AI applications.

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.

Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.

The adoption of multi-cloud environments has increased as businesses recognize their numerous advantages. A company is considered multi-cloud when it leverages cloud services from two or more providers for its applications and operations. Unlike a single-cloud setup, multi-cloud systems often involve the integration of both private and public clouds or a combination of the two.

Table of Contents Amazon Redshift has become one of the most popular data warehousing solutions due to its scalability, speed, and cost-effectiveness. As the data landscape continues to evolve, businesses are generating and data processing increasingly large datasets. Efficient analysis of these datasets is essential to making informed, data-driven decisions. Amazon Redshift allows companies to extract meaningful insights from vast amounts of structured and semi-structured data.

The last decade has seen a giant shift by organizations into the cloud for software, storage, and compute, resulting in business benefits ranging from flexibility and lower up-front costs to easier maintenance. But lately we have seen more and more companies re-evaluating their cloud strategies and opting to move their data back to on-premises infrastructure due to several key factors.

“We build our solution on top of an AWS stack. It frees us up to think about creating innovative solutions and not worry about infrastructure”- Vu Lam, CEO of Katalon In order to help enterprise customers release faster and deliver on time, Katalon has built an integration where automation scripts can be stored in AWS CodeCommit and an AWS CodePipeline project can execute them using the integration.

It’s the final day of Koyeb's Launch Week Round 2, and today we’re announcing the public preview of Volumes! Volumes on Koyeb are blazing-fast NVMe SSD you can use to persist data across deployments. After announcing Volumes in technical preview a few months ago, we are now opening the preview to all users on the Starter plan! Offering high throughput and low latency, Volumes open the door to a wide range of new workloads and use cases to handle the state of your applications.

A cloud database is a database stored and managed on a cloud computing platform, rather than on local or company-owned servers. his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses.

Today, we are thrilled to announce the public preview of AWS Regions on Koyeb! During last launch week, we introduced the private preview of AWS Regions. We announced our first region, the famous, us-east-1 (N. Virginia) region, and started onboarding our first users. What’s new with this public preview? In addition to the us-east-1 location now being available to everyone on the platform, you can now deploy to this region via the control panel and the CLI!