Embedding Pipelines in .NET with Microsoft.Extensions.AI
Learn how Microsoft.Extensions.AI embeddings .NET pipelines use batching, vectors, caching, telemetry, and decorators to keep retrieval work observable.


Learn how Microsoft.Extensions.AI embeddings .NET pipelines use batching, vectors, caching, telemetry, and decorators to keep retrieval work observable.
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 the pipeline pattern in C#, its core stages, execution models, tradeoffs, and how to choose a stable .NET 10 implementation for production systems.
Compare NLog vs Serilog in .NET to choose the right logging library. Covers configuration style, structured logging, performance, rules routing, sinks vs targets, and migration guidance.