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sap-ai-core

Integrate SAP AI Core and SAP AI Launchpad for enterprise AI workflows.

Updated Jan 27, 2026
Search Tags:#rag#orchestration#grounding#sap-ai-core#sap-ai-launchpad#generative-ai-hub#prompt-experimentation
One-click install
npx skills add https://github.com/dherbe-digital/nova-skills-collection --skill sap-ai-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sap-ai-core
Source: https://github.com/dherbe-digital/nova-skills-collection/tree/main/plugins/sap/ai-ml/sap-ai-core/skills/sap-ai-core
Command: npx skills add https://github.com/dherbe-digital/nova-skills-collection --skill sap-ai-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. It provides a unified approach to deploying generative AI models, orchestrating workflows, implementing RAG, training ML pipelines, and safely integrating AI capabilities across SAP applications.

Core Features & Use Cases

  • Unified orchestration: Build modular AI workflows using templating, grounding, masking, and filtering across SAP AI Core and Launchpad.
  • GenAI hub experimentation: Experiment with multiple providers and models via the Generative AI Hub and Model Library.
  • End-to-end lifecycle: Deploy, train, and monitor AI workloads with Argo-based ML operations and serving endpoints.
  • Use Case: Enterprise scenarios such as customer support and knowledge management through orchestrated AI pipelines.

Quick Start

To begin, set up SAP AI Core and Launchpad connections, then explore the Generative AI Hub to configure a baseline workflow and deploy a test configuration.

Frequently Asked Questions about sap-ai-core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate generative AI workflows with SAP AI Core and Launchpad?▼

You can orchestrate generative AI workflows with SAP AI Core by building modular pipelines using templating, grounding, and masking within the SAP AI Launchpad for enterprise use cases.

What is the best way to deploy GenAI models on SAP BTP?▼

Deploying GenAI models on SAP BTP is achieved through SAP AI Core and Launchpad, which provide serving endpoints and Argo-based ML operations for the end-to-end model lifecycle.

Do I need a SAP BTP service key to use the Generative AI Hub?▼

Yes, operating the Generative AI Hub for prompt experimentation requires SAP BTP account access, SAP AI Core and Launchpad credentials with a valid service key, and GenAI Hub prerequisites.

Can I experiment with multiple AI providers in SAP AI Launchpad?▼

Yes, the Generative AI Hub in SAP AI Launchpad allows you to experiment with multiple providers and models via its Model Library for prompt experimentation and baseline configuration.

How does grounding work when building RAG pipelines in SAP AI Core?▼

Grounding in SAP AI Core integrates contextual data into RAG pipelines through orchestration workflows, allowing you to apply filtering and templating to safely manage enterprise knowledge.

What are the limitations of using SAP AI Core for enterprise AI workloads?▼

SAP AI Core requires strict prerequisite environments including a valid SAP BTP service key and Launchpad access, meaning operations are constrained to properly configured SAP enterprise architectures.

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