The RAG (Relationship-Agnostic Graph) architecture tag covers the design and implementation of AI systems using graph-based knowledge representation, which enables efficient and scalable reasoning. This architecture matters to software engineers as it provides a foundation for building intelligent systems that can integrate and reason about diverse data sources. Relevant articles explore practical…
4 articles since Jun 2026
Explore the real engineering trade‑offs between self‑attention and cross‑attention in .NET Retrieval‑Augmented Generation, with production‑ready patterns, profiling tips, and scaling guidance.
Discover how to build agentic AI with .NET and Microsoft Semantic Kernel, and learn best practices for developing multi-agent systems in C#. Explore real-world examples and case studies of AI orchestration in .NET for agentic AI.
Discover how to save on tokens with Agentic AI, including best practices, cost optimization strategies, and real-world examples. Learn how to maximize your token efficiency and reduce costs.
Discover the power of Agentic AI with our free course, designed for developers to build and deploy AI agents with ease, using .NET, Microsoft Semantic Kernel, and Azure AI Foundry.