Data integration

Discover the new features of Red Hat build of Apache Camel 4.18, including AI-driven semantic processing, Camel CLI Launcher, visual integration test flows, and more.

Explore how modern agentic AI improves upon traditional text-to-SQL approaches.

Learn about the Data Governance Copilot, designed to make PostgreSQL databases accessible to non-technical users via agentic, natural language interaction while maintaining data compliance.

Dive into the Q1’26 edition of Camel integration quarterly digest, covering the

Learn how to create a baseline RAG system using Apache Camel, PostgreSQL, and pgvector. This implementation demonstrates a 'boring' approach to RAG, making it easy to understand and debug. Discover the anatomy of a RAG pipeline, including indexing, retrieval, and answering.

See how to use Apache Camel to turn LLMs into reliable text-processing engines for generative parsing, semantic routing, and "air-gapped" database querying.

Dive into the Q4’25 edition of Camel integration quarterly digest, covering the

Deploy Red Hat OpenShift Data Foundation (ODF), a unified data storage solution

Learn how to integrate the Veeam Kasten data management platform with Red Hat

Explore our guide to setting up and using Red Hat Lightspeed Model Context Protocol to enable natural language interaction.

Discover the new features of Red Hat build of Apache Camel 4.14, including enhanced integration components, visual JSON data mapping, Camel dashboard, and more.

Your Red Hat Developer membership unlocks access to product trials, learning resources, events, tools, and a community you can trust to help you stay ahead in AI and emerging tech.

Dive into the Q3’25 edition of Camel integration quarterly digest, covering the

Microsoft has added full support for cgroup v2, which is a big step forward for memory management on Red Hat Enterprise Linux.

Dive into the Q2’25 edition of Camel integration quarterly digest, covering the

Discover why Kafka is the foundation behind modular, scalable, and controllable AI automation.

Discover an alternative way to create an encrypted RHEL image for deploying a confidential VM on the Azure cloud platform.

Red Hat build of Apache Camel 4.10 brings enhanced integration components, unified observability, expanded cloud and messaging support, and more.

Learn how integration powers AI with Apache Camel at Devoxx UK 2025. Explore

Dive into the Q1’25 edition of Camel integration quarterly digest, covering the

Dive into the fourth edition of Camel integration quarterly digest, covering the

Red Hat build of Apache Camel 4.8 brings enhancements in contract-first API development, optimized OpenShift-based workflows, and improved developer tooling.

Welcome to the Q3 edition of Red Hat’s quarterly newsletter all about Apache

This tutorial gives you a unique chance to learn, hands-on, some of the basics of large language models (LLMs) in the Developer Sandbox for Red Hat OpenShift.

In today's fast-paced IT landscape, the need for efficient and effective