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Articles tagged with #ai
The first RAG system I shipped answered beautifully about concepts and failed completely on part numbers. Ask it "how do I reset a stuck deployment" and it nailed the answer. Ask it "what does error P
You built the pipeline. Documents are chunked, embedded, and sitting in a vector store. Retrieval returns results. And your RAG answers still hallucinate in .NET, confidently telling users about a stu
Tool calling is the moment an LLM stops being a text generator and starts touching your systems. Securing LLM tool calling in ASP.NET Core is therefore not really an AI problem - it is an authorizatio
Retrieval-Augmented Generation lives or dies on one unglamorous step, and it is not the model or the vector database. It is chunking. When you get chunking documents for RAG in .NET wrong, the model r
If you shipped an AI agent in .NET over the last two years, there is a good chance it runs on Semantic Kernel. That was the right call at the time. But with Microsoft Agent Framework reaching GA in Ap
The first time an AI feature I shipped went down in production, nothing in my code had changed. The model provider had a bad afternoon: a wave of 429 Too Many Requests, then a stretch of 503s, and eve
