
The integration of RAG, MCP, and LLMs into the .NET ecosystem enables robust, explainable, and secure cognitive systems, applicable in domains such as legal, biomedical, and corporate support. The article details fundamentals, architecture, and practices for orchestration, governance, and monitoring of these systems, as well as discussing technical challenges and future trends for trustworthy, auditable, and mission-critical AI.
LLM, MCP, Retrieval-Augmented Generation, Multi-Component Pipelines, RAG, Cognitive Systems Architecture
LLM, MCP, Retrieval-Augmented Generation, Multi-Component Pipelines, RAG, Cognitive Systems Architecture
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