Generative AI Hub setup and onboarding
The concept name provided is "undefined," and the supplied sources do not contain enough grounded information to produce a reliable, accurate definition for a specific SAP developer concept. Please provide a valid concept name and relevant source snippets so a precise definition can be written.
Tutorials that teach this
Discovery missions teaching this
Code samples embodying this
Prerequisites
- Concept BTP Service Entitlements Configuration The concept name is missing or undefined, so a precise definition cannot be provided. Based on the available sources, the provided snippets cover topics such as [SAP BTP trial account setup](https://help.sap.com/docs/btp/sap-business-technology-platform/fa5deb9cc4be4ca58070456cd2c47647?locale=en-US&state=PRODUCTION&version=Cloud), free service plans, the btp CLI, Kyma environment management, and [account administration via the SAP Cloud Management Service APIs](https://help.sap.com/docs/btp/sap-business-technology-platform/17b6a171552544a6804f12ea83112a3f?locale=en-US&state=PRODUCTION&version=Cloud), but no specific concept is identified for definition. Please provide a valid concept name to generate an accurate reference definition.
- Concept SAP BTP Service Instance and Binding Creation The provided sources do not contain sufficient information to write a grounded definition for an **undefined** concept. Source [S1] references a troubleshooting scenario involving the SAP Service Manager binding on SAP BTP, while the remaining sources ([S2]–[S8]) are tutorial titles only, with no descriptive content. Without a clearly identified concept name and supporting source content, a factually grounded definition cannot be produced.
- Concept Large Language Models (LLMs) The concept provided is **undefined**, and the supplied sources do not describe a specific, identifiable SAP developer concept by that name. Based on the available snippets — which cover topics such as [Retrieval Augmented Generation (RAG)](https://architecture.learning.sap.com/docs/ref-arch/RA0005/3-retrieval-augmented-generation/readme), prompting LLMs in the generative AI hub, and using custom or small language models on SAP AI Core — no definition can be responsibly constructed for an unnamed or undefined concept. Please provide a valid concept name so that an accurate, source-grounded definition can be written.
- Concept SAP BTP Subaccount and Entitlement Setup The provided sources do not contain sufficient information to define this concept. The concept name is "undefined" and none of the source snippets supply grounded content that could be used to write an accurate, sourced definition.
- Concept SAP BTP Account Model (Global Accounts, Subaccounts, Spaces) The concept name provided is "undefined," which does not correspond to a identifiable SAP developer concept. Based on the available sources — which cover topics such as global account administration, subaccount creation, the Cloud Foundry environment, and SAP BTP account management — there is insufficient information to produce a grounded definition for a concept labeled "undefined." Please provide a valid SAP concept name so an accurate and source-grounded definition can be written.
- Concept SAP Generative AI Hub The concept name was not provided, so a best-effort definition is derived from the available sources covering SAP's AI development landscape. [SAP's AI Golden Path](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/readme) is a curated starting point for developing AI applications across the SAP ecosystem, offering recommendations and guidance for building and delivering AI-powered solutions. Developers use it to navigate capabilities such as [Generative AI application integration, embeddings and semantic search](https://architecture.learning.sap.com/docs/ref-arch/RA0005/2-semantic-search/readme), predictive and tabular AI, and document processing. It encompasses patterns for leveraging Foundation Models and Large Language Models (LLMs) through prompting, as well as frameworks like Intelligent Scenario Lifecycle Management (ISLM) for standardized AI lifecycle management.
- Concept SAP BTP Service Instance and Service Key Creation The concept provided is `undefined`, and the supplied sources do not contain sufficient content to ground a meaningful definition of any specific SAP developer concept. Without a valid concept name or substantive source snippets, a documentation-quality definition cannot be written accurately or responsibly.
- Concept SAP BTP Fundamentals and Platform Navigation
- Concept SAP AI Core Service Setup The concept name was not provided, so a precise definition cannot be constructed from the available sources. Based on the sources, these materials collectively cover building and integrating [Generative AI applications](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/2-build-and-deliver/3-genai-applications/readme) on SAP Business Technology Platform using SAP AI Core — a managed service that developers use to train models, run AI workloads, and connect to large language models via orchestration. Developers leverage it alongside [SAP BTP service instances and keys](https://help.sap.com/docs/btp/sap-business-technology-platform/5b35ee98403045309bb0f8c7f0c79365?locale=en-US&state=PRODUCTION&version=Cloud) to authenticate and consume AI capabilities such as prompt optimization, grounding, multimodal responses, and custom evaluation within their applications.
- Concept SAP BTP Cockpit The concept name was not provided and the supplied source snippets do not define or describe a single, identifiable SAP developer concept — they cover a range of unrelated SAP BTP topics such as Kyma environment setup, Cloud Foundry org deletion, subaccount management, and service instances. A focused definition cannot be grounded solely in these sources without a clearly stated concept to define.
- Concept Service Key Management The concept name provided is "undefined," and the available sources do not contain sufficient information to produce a grounded, accurate definition for a specific SAP developer concept. Only [S1] references a named concept — **Service Instance Secrets** — but the snippet is truncated and does not provide enough detail to write a complete, fully supported definition. The remaining sources are tutorial titles with no substantive content. To generate a valid reference definition, please provide a valid concept name and ensure the source snippets contain enough grounded detail to support 2–4 sentences of prose.
Concepts that build on this
- Concept Inference Observability in SAP AI Core
- Concept Prompt Registry Management in SAP Generative AI Hub
- Concept Multimodal AI Inference with GPT-4o
- Concept BFCL Tool Calling Dataset Normalization and Prompt Optimization
- Concept Generative AI Custom Evaluation in SAP AI Core
- Concept SAP AI Core Model Deployment and Inference
- Concept Prompt Optimization Across Models
- Concept SAP AI Core Orchestration Service
- Concept Document Grounding via Microsoft SharePoint in SAP AI Core
- Concept SAP AI Launchpad Usage
- Concept Prompt Engineering
- Concept LLM orchestration across multiple models
- Concept Tabular Data Prediction with Pretrained Transformer Models
- Concept Multimodal AI Chatbot Development