Red Hat has introduced enhancements to its Developer Hub, an advanced internal portal tailored for platform engineering teams. These upgrades include a set of five AI templates designed to help developers create applications for various AI-driven tasks, such as audio transcription, chatbot responses, code generation, object detection, and retrieval-augmented generation (RAG).

Launched on November 12, these AI templates aim to ease the burden on developers by providing ready-made solutions for typical AI applications. Red Hat developed these templates to address challenges related to limited resources and the specialized knowledge required to implement AI-based tools. Each template offers a streamlined, pre-configured architecture, allowing developers to deploy AI functionalities without delving deeply into the complex underlying technologies, as stated by Red Hat.

Here is an overview of the newly available templates and their core functionalities:

• Audio-to-Text Transcription: Converts uploaded audio files into text using AI-driven transcription services.
• AI-Powered Chatbot: Uses a large language model (LLM) to create a chatbot capable of generating AI-based responses to user queries.
• Code Generation Assistant: Designed to support developers in answering code-related questions by generating code suggestions through an LLM.
• Object Detection Tool: Enables users to upload images for automatic object recognition and location tagging.
• Retrieval-Augmented Generation (RAG) Chatbot: Allows developers to integrate relevant documents, enabling the model to generate more precise responses based on specific context.

Additionally, Red Hat’s Developer Hub includes a software catalog that allows developers and platform engineers to catalog and share information on AI resources within their organization, such as large language models, AI servers, and APIs. This centralized repository supports efficient access to tools and knowledge, fostering collaboration across teams.