This tag focuses on Retrieval-Augmented Generation with Azure OpenAI and .NET, covering production reliability, async patterns, and compliance. Articles detail debugging rate‑limit errors in real‑world deployments, comparing Semantic Kernel and LangChain for latency optimization, and designing a HIPAA‑compliant healthcare document pipeline that scales on Azure.
3 articles since Aug 2026
Learn how to harden Azure OpenAI authentication and scale a .NET Retrieval‑Augmented Generation service for production, with real‑world code, architecture, and cost tips.
Explore the architectural trade‑offs, performance nuances, and .NET integration strategies of Semantic Kernel vs LangChain to make informed engineering decisions.
A deep dive into architecting a production‑grade Healthcare Document Processing Pipeline—covering AI extraction, FHIR integration, vector search, and compliance at scale.