Azure AI Foundry is a unified platform that facilitates the creation, deployment, and management of AI applications by providing access to a variety of models and services from AI providers like Azure OpenAI, Meta, and Mistral. Integrating Bright Data’s SERP API into Azure AI Foundry enhances the capabilities of language models by grounding them with real-time data from the internet, overcoming limitations of static knowledge in LLMs and preventing “stale” or “hallucinated” responses. This integration is particularly useful in Retrieval-Augmented Generation (RAG) workflows, where AI models are supplemented with up-to-date information before generating responses. The article offers a detailed guide on building an Azure AI prompt flow that connects to the SERP API for news analysis, enabling automated retrieval and evaluation of news articles based on reading worthiness. By utilizing Bright Data’s SERP API, users can programmatically fetch search engine results, providing a reliable source of fresh data that can be seamlessly incorporated into AI workflows. The tutorial also covers setting up an Azure AI Hub, deploying AI models, and configuring nodes for input, SERP API calls, LLM processing, and output generation.