Red Hat has introduced a new suite of AI-powered templates to enhance its Developer Hub, an internal platform designed to support enterprise platform engineering teams. Launched on November 12, the five newly added templates are tailored to help developers tackle the increasing demand for AI-driven applications while overcoming common resource constraints and skills gaps. These templates are designed with ease of use in mind, allowing developers to build and deploy AI applications without needing to master the underlying technologies in detail.
The AI templates cover a range of practical use cases, ensuring that developers can create useful AI solutions across various domains. One of the offerings is an audio-to-text application that enables users to upload audio files for transcription. Another template focuses on building a chatbot powered by a large language model (LLM), allowing developers to quickly set up AI-driven conversational agents. Additionally, a code generation application template is available, which leverages an LLM to assist with code-related queries and help automate the coding process for developers.
Red Hat’s platform also includes a template for object detection, enabling developers to upload images and automatically detect and locate objects within those images. For more specialized needs, there is a retrieval-augmented generation (RAG) chatbot application, which allows developers to embed relevant files and documents that the chatbot can use to provide more accurate, context-driven responses. These templates simplify the process of building complex AI models by offering pre-architected, supported frameworks for deployment.
In addition to these templates, the Red Hat Developer Hub’s software catalog facilitates collaboration and knowledge sharing among developers and platform engineers. It provides a space for teams to record and share essential details about their organization’s assets, including LLMs, AI servers, and APIs. This centralized catalog helps streamline the development and deployment of AI solutions, ensuring that teams can work more efficiently and share best practices across their organization. Through these enhancements, Red Hat aims to empower developers to quickly adopt and integrate AI technologies into their workflows without the need for deep AI expertise.