Sap Ai Core
- Updated May 19, 2026
- AndreaFusar/https-github.com-secondsky-sap-skills
sap-ai-core is an agent skill that guides SAP AI Core and AI Launchpad integration for GenAI deployment, orchestration, RAG, and ML pipelines on SAP BTP.
About
sap-ai-core guides development with SAP AI Core and SAP AI Launchpad for enterprise AI and ML workloads on SAP Business Technology Platform. developers and small teams embedding AI into SAP or BTP-hosted apps use it when deploying generative models, building orchestration workflows, implementing RAG, running training pipelines, or hardening outputs with filtering and masking. The skill spans provider choices—Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM—and practical modules for structured outputs and hub-based experimentation. Correct BTP AI wiring reduces rework on compliance and scaling. Invoke it before agent features touch customer data or SAP application surfaces so orchestration and governance are designed in, not bolted on after ship.
- Deploy generative models (GPT, Llama, Gemini, Mistral) via SAP AI Core on BTP
- Orchestration with templating, filtering, grounding, embeddings, and tool calling
- RAG patterns with vector databases and Generative AI Hub prompt experimentation
- ML training pipelines with Argo Workflows and service plan guidance (Free/Standard/Extended)
- Content filtering and data masking for PII protection in enterprise flows
Sap Ai Core by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Last updated | May 19, 2026 |
|---|---|
| Repository | AndreaFusar/https-github.com-secondsky-sap-skills ↗ |
What it does
Wire SAP AI Core, Launchpad, orchestration, RAG, and ML pipelines on SAP BTP when shipping enterprise GenAI features in a CAP or SAP-adjacent product.
Who is it for?
Best when you're shipping AI features on SAP BTP with CAP or SAP-integrated apps and need orchestration, RAG, and governance in one guided flow.
Skip if: Non-SAP stacks, pure marketing copy generation, or beginners without BTP tenancy and AI Core entitlements.
When should I use this skill?
Deploying generative AI on SAP AI Core, building orchestration/RAG workflows, ML pipelines with Argo, Generative AI Hub experiments, or PII-safe filtering on BTP.
What you get
You get actionable patterns for model deployment, orchestration workflows, RAG, pipelines, and content safety aligned with SAP AI Core service plans and Launchpad operations.
- Orchestration and deployment configuration guidance
- RAG and embedding integration patterns
- PII filtering and pipeline setup notes
By the numbers
- Covers model providers: Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, and IBM
- Documents service plans: Free, Standard, and Extended
Files
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Llama, Gemini, Mistral), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
sap-ai-core
Source: ./plugins/sap-ai-core
{ "name": "sap-ai-core", "source": "./plugins/sap-ai-core", "license": "GPL-3.0", "version": "2.2.0", "category": "ai", "keywords": [ "artificial intelligence", "btp", "cap", "core", "llm", "machine learning", "sap", "sap-ai-core" ], "description": "Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Llama, Gemini, Mistral), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs." }
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FAQ
Who is sap-ai-core for?
Developers and consultants building GenAI or ML capabilities inside SAP BTP, CAP, or SAP application extensions.
When should I use sap-ai-core?
During build/integrations when deploying models, configuring orchestration/RAG, setting Argo training jobs, or integrating Launchpad and Generative AI Hub into your app.
Is sap-ai-core safe to install?
Treat it as guidance for systems handling PII and cloud credentials; review Security Audits on this page and your org’s BTP security policies before production use.