MCP scales agent capabilities, but only a centralized control plane makes it enterprise-safe. This post outlines the architecture required to enforce identity, authorization, auditability, and containment across MCP-based systems.
Struggling to keep your LLM-based GenAI solutions running smoothly under heavy workloads? In this blog, discover how SAP Cloud Logging Service can provide end-to-end visibility—turning logs and traces into actionable insights for faster troubleshooti...
Build a unique digital assistant in BTP using GenAI capabilities that includes data learning and adaptable prompting.
Unleash the power of AI and augment your applications with Retrieval-Augmented Generation. Dive into the world of large language models with this simple guide on building Python RAG applications using LangChain, HANA Vector DB, and the Generative AI ...
Retrieval-Augmented Generation (RAG) techniques significantly improve the contextual relevance of large language model (LLM) outputs by incorporating real-time database lookups. SAP HANA Cloud vector engine plays a key role here, enabling efficient r...
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mohan-sharma
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Architecting MCP for the Enterprise
maria_kondratye
Kunal__Kumar
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To built a strong understanding of how LLM and Gen...
ANIKET_TIWARY
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Implementing Thread-Safe Structured Logging for P...
StevenLiu
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SAP-RPT-1: Enterprise AI for Relational Data Now G...
chrwittm
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Welcome SAP-RPT-1! What is it? How can you try it ...
