Golden Evaluation Sets for RAG: Synthetic Data, Human Calibration, and Drift
Build a trustworthy RAG golden dataset in .NET with versioned evidence, synthetic-case review, human sentinel calibration, and drift-driven refreshes.
Build a trustworthy RAG golden dataset in .NET with versioned evidence, synthetic-case review, human sentinel calibration, and drift-driven refreshes.
Learn RAG evaluation metrics in .NET with Precision@K, Recall@K, MRR, nDCG, groundedness, and answer relevance for clearer, repeatable offline RAG diagnostics.
Learn RAG query transformation in .NET through baseline retrieval, HyDE, step-back abstraction, decomposition, candidate merging, and retrieval evaluation.
This week covers NLog performance and routing, practical C# design patterns, and a stable .NET architecture for RAG and embeddings. New videos dig into AI-assisted workflows, navigating large codebases, burnout, and the path beyond senior engineer.
Learn a stable architecture for RAG and embeddings in .NET, connecting ingestion, retrieval, citations, authorization, evaluation, observability, and deletion.