Cognitive Systems Architecture: Integration of RAG, MCP and LLMs in the .NET Ecosystem

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19463559
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Cognitive Systems Architecture: Integration of RAG, MCP and LLMs in the .NET Ecosystem

Nagib Sabbag Filho
Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
article

Cognitive Systems Architecture: Integration of RAG, MCP and LLMs in the .NET Ecosystem

Nagib Sabbag Filho
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Paulista (BR)
Openalex Percentile: Top 19%
Cognitive Computing and Networks
DOIOpen Access PDFOpenAlex
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Cognitive Systems Architecture: Integration of RAG, MCP and LLMs in the .NET Ecosystem — Nagib Sabbag Filho · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS