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 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, 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.
Tutorials that teach this
- Tutorial Prompt Optimization with Tool Calling and Response Formatting
- Tutorial Consumption of GenAI models Using Orchestration - A Beginner's Guide
- Tutorial Prompt Optimization with Tool Calling
- Tutorial Multimodal Response Assistant Chatbot Using SAP AI Core
- Tutorial Using Multimodal inputs with GPT4o for Image Recognition on SAP AI Core
- Tutorial Strategic Prediction with SAP RPT-1: A Comprehensive Guide
- Tutorial Orchestration(V2) with Grounding Capabilities in SAP AI Core
- Tutorial Consumption of GenAI models Using Orchestration(V2) service - A Beginner's Guide
- Tutorial 🔵 Devtoberfest 2025 - Week 4 - Data & AI sessions
- Tutorial Custom Evaluation for Generative AI – Comprehensive Guide
- Tutorial 🔵 Devtoberfest 2025 - Week 3 - Data & AI sessions
- Tutorial Set up Generative AI Hub in SAP AI Core
- Tutorial Leveraging Orchestration(V2) Capabilities to Enhance Responses
- Tutorial Orchestration with Grounding Capabilities in SAP AI Core
Learning journeys covering this
Docs explaining this concept
Code samples embodying this
Prerequisites
- 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 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 Fundamentals and Platform Navigation
Concepts that build on this
- Concept Tabular Data Prediction with Pretrained Transformer Models
- Concept Prompt Registry Management in SAP Generative AI Hub
- Concept LLM orchestration across multiple models
- Concept AI Agent-Based Solution Development
- Concept Orchestration Service for LLM Completions
- Concept Inference Observability in SAP AI Core
- Concept Intelligent Scenario for Generative AI
- Concept AI agent design and deployment
- Concept Multimodal AI Chatbot Development
- Concept Multimodal AI Inference with GPT-4o
- Concept Generative AI Custom Evaluation in SAP AI Core
- Concept Generative AI Hub setup and onboarding
- Concept Prompt Engineering
- Concept Devtoberfest Data & AI Sessions Overview
- Concept ISLM Intelligent Scenario Management
- Concept SAP AI Core Orchestration Service
- Concept SAP AI Launchpad Usage
- Concept BFCL Tool Calling Dataset Normalization and Prompt Optimization