Senior engineering practice: RAG and AI/LLM on .NET, integrations, legacy modernisation. No marketing.https://anetlab.com/en-ushttps://anetlab.com/blog/contextum-document-pipeline/https://anetlab.com/blog/contextum-document-pipeline/AnetLab Contextum: a five-stage pipeline between an agent and an LLM — Markdown conversion, context compression, idempotent delivery and an honest loss registry.Wed, 21 Oct 2026 00:00:00 GMTAI/LLM.NETRAGproject@anetlab.ruhttps://anetlab.com/blog/rag-evaluation-dotnet/https://anetlab.com/blog/rag-evaluation-dotnet/How to measure RAG quality on .NET: a Golden Set of 50–100 questions, computing Recall@5 and MRR, measuring faithfulness and eval-as-a-release-gate in CI.Tue, 20 Oct 2026 00:00:00 GMTAI/LLM.NETRAGEvaluationproject@anetlab.ruhttps://anetlab.com/blog/agentic-workflows-enterprise/https://anetlab.com/blog/agentic-workflows-enterprise/When agents pay off in corporate processes and when a deterministic workflow is enough: architecture, typical failures and a rollout checklist.Mon, 19 Oct 2026 00:00:00 GMTAI/LLMAgentsArchitectureproject@anetlab.ruhttps://anetlab.com/blog/engineering-leadership-ai/https://anetlab.com/blog/engineering-leadership-ai/What changes in a tech lead’s job with AI products: eval as an engineering practice, ownership of the answer, team topology and the CI/CD/CE cycle.Mon, 19 Oct 2026 00:00:00 GMTAI/LLMLeadershipTeamproject@anetlab.ruhttps://anetlab.com/blog/enterprise-ai-architecture/https://anetlab.com/blog/enterprise-ai-architecture/A practical guide to the architecture of corporate AI systems: RAG vs fine-tuning, agents vs workflows, quality evaluation and governance.Sun, 18 Oct 2026 00:00:00 GMTAI/LLMArchitectureEvaluationproject@anetlab.ruhttps://anetlab.com/blog/production-rag-checklist/https://anetlab.com/blog/production-rag-checklist/A checklist for taking RAG to production: security, quality evaluation, observability, cost control and content lifecycle governance.Sat, 17 Oct 2026 00:00:00 GMTRAGAI/LLMChecklistEvaluationproject@anetlab.ruhttps://anetlab.com/blog/ai-poc-to-production/https://anetlab.com/blog/ai-poc-to-production/Why AI pilots do not reach production and how to fix it: Golden Set, eval pipeline, integration with the corporate context, LLMOps and a readiness checklist.Fri, 16 Oct 2026 00:00:00 GMTAI/LLMDeliveryLLMOpsEvaluationproject@anetlab.ruhttps://anetlab.com/blog/legacy-dotnet-modernisation/https://anetlab.com/blog/legacy-dotnet-modernisation/What really breaks when moving from .NET Framework to modern .NET: BinaryFormatter, AppDomains, WCF, YARP, Strangler Fig and the AI Bridge pattern.Thu, 15 Oct 2026 00:00:00 GMT.NETLegacyModernisationproject@anetlab.ruhttps://anetlab.com/blog/mcp-for-enterprise/https://anetlab.com/blog/mcp-for-enterprise/How to embed MCP in the corporate environment: the protocol primitives, the security model, schema bloat, call auditing and the choice between MCP, REST and Kafka.Wed, 14 Oct 2026 00:00:00 GMTAI/LLMMCPIntegrationsproject@anetlab.ruhttps://anetlab.com/blog/dotnet-azure-ai-architecture/https://anetlab.com/blog/dotnet-azure-ai-architecture/How to assemble a production-ready AI system on .NET and Azure: async pipeline, RAG, Polly, observability and cost control — with working code.Tue, 13 Oct 2026 00:00:00 GMT.NETAI/LLMArchitectureRAGproject@anetlab.ruhttps://anetlab.com/blog/rag-pipeline-dotnet/https://anetlab.com/blog/rag-pipeline-dotnet/A step-by-step build of a production-ready RAG on .NET 10 — from text extraction to the evaluation pipeline. With the real decisions, not abstractions.Tue, 06 Oct 2026 00:00:00 GMTRAG.NETAI/LLMMCPproject@anetlab.ruhttps://anetlab.com/blog/rag-na-dotnet/https://anetlab.com/blog/rag-na-dotnet/Why naive RAG breaks on real data, and how we build a .NET pipeline: chunking, hybrid search, evaluation and cost control.Mon, 28 Sep 2026 00:00:00 GMTRAG.NETAI/LLMproject@anetlab.ru