
How to build AI-ready applications with Quarkus
Develop AI-integrated Java applications more efficiently using Quarkus. This article covers implementing chatbots, real-time interaction, and RAG functionality.
Develop AI-integrated Java applications more efficiently using Quarkus. This article covers implementing chatbots, real-time interaction, and RAG functionality.
Pick a topic below that interests you, then go through one of the self-paced tutorials!
With the growth in the use of containers, the need to bundle your application
Pick a topic below that interests you, then go through one of the self-paced tutorials!
Try a hands-on workshop in the Developer Sandbox to learn about Quarkus (a Java-based framework) and its ecosystem.
Cloud native technologies to develop, deploy, and manage responsive and scalable applications anywhere.
Discover what's new for developers in Red Hat OpenShift 4.18, including new
Read a sample excerpt from Quarkus in Action, a practical guide to building resilient and scalable, cloud-native Java applications using the Quarkus framework.
The Konveyor community has developed "Konveyor AI" (Kai), a tool that uses Generative AI to accelerate application modernization. Kai integrates large language models with static code analysis to facilitate code modifications within a developer's IDE, helping transition to technologies like Quarkus efficiently. This video provides a short introduction and demo showcasing the migration of the Java EE "coolstore" application to Quarkus using Konveyor AI.
Download Quarkus in Action, a practical guide to building resilient and scalable, cloud-native, enterprise Java applications using the Quarkus framework.
Red Hat build of Apache Camel 4.8 brings enhancements in contract-first API development, optimized OpenShift-based workflows, and improved developer tooling.
Explore the possibilities of upgrading the Red Hat build of Apache Camel on
Explore the evolution and future of Quarkus, Red Hat’s next-generation Java framework designed to optimize applications for cloud-native environments.
We will demo AI from laptop to production using Quarkus and LangChain4j with ChatGPT, Dall-E, Podman Desktop AI.
Find out what new features and capabilities have been provided in Red Hat
Kubernetes-native Java with low memory footprint and fast boot times for
The latest releases of Quarkus Tools for IntelliJ 2.0.2 and Quarkus Tools for Visual Studio Code 1.18.1 deliver significant enhancements to support Quarkus and Qute, making development smoother across both IDEs.
This blog post summarizes an experiment to extract structured data from
What artificial intelligence (AI) can do nowadays is simply mind-blowing. I must admit that I cannot stop being surprised, sometimes literally jumping from my seat thinking, "I didn't imagine that AI could also do this!"
The Quarkus community project announced plans to join the Commhaus Foundation
This article aims to show the features and complete utilization of Java Flight Recording (JFR) via Cryostat Operator (Cryostat) for Red Hat OpenShift Container Platform (RHOCP) 4.x. Use cases are explained.
An event streaming platform using Red Hat Streams for Apache Kafka based on...
Discover how an API First Approach provides the right framework to build APIs...
Event-driven Sentiment Analysis using Kafka, Knative and AI/ML