Introduction When building AI agents—especially for internal enterprise use cases—one of the biggest challenges is data access. Real organizational data may be: Disorganized or poorly labeled ...

To help AI Agents make well-informed decisions with confidence, knowledge serves as the foundation for generating accurate and grounded responses. By integrating comprehensive and precise data, Azure...

Real-world AI Solutions: Lessons from the Field Overview Generative AI offers significant potential to streamline processes in domains with complex regulatory or clinical documentation. For examp...

Authors: Yufei Liu, Lihui Wang, Yao Qian, Yang Zheng, Jiajun Zhang, Bing Liu, Yang Cui, Peter Pan, Yan Deng, Songrui Wu, Gang Wang, Xi Wang, Shaofei Zhang, Sheng Zhao   We are pleased to announce...

Introduction Welcome to RAG Time Journey 4, the next step in our deep dive into Retrieval-Augmented Generation (RAG). If you’ve been following along, you might remember that in Journey 2 , we explo...

Introduction This document outlines a set of best practices to guide users in submitting quota increase requests for Azure OpenAI models. Following these recommendations will help streamline the pr...

In 2022, we announced the deprecation of QnA Maker by March 31, 2025 with a recommendation to migrate to Custom Question Answering (CQA). In response to feedback from our valued customers, we have de...

The Procure-to-Pay (P2P) process is traditionally error-prone and labor-intensive, requiring someone to manually open each purchase invoice, look up contract details in a separate system, and painsta...

In the rapidly evolving landscape of artificial intelligence (AI), the development of systems that can autonomously interact, learn, and make decisions has become a focal point. A pivotal aspect of t...