Streamlines the deployment and management of enterprise AI/ML workloads and LLM orchestration on SAP BTP.
This skill provides production-ready guidance for developers working with SAP AI Core and AI Launchpad to build and scale enterprise AI applications. It enables seamless integration with the Generative AI Hub to access models from Azure OpenAI, AWS Bedrock, and Google Vertex AI, while implementing robust orchestration pipelines for data masking, content filtering, and Retrieval-Augmented Generation (RAG). Whether you are managing ML training pipelines via Argo Workflows or deploying secure LLM-powered applications, this skill offers the implementation patterns and API references needed for compliant, scalable AI development on SAP Business Technology Platform.
Key Features
01Multi-provider LLM access via Generative AI Hub (GPT-4, Claude, Gemini, Llama)
02Modular orchestration for templating, PII masking, and content filtering
03Automated ML training and inference pipelines using Argo Workflows
042 GitHub stars
05Enterprise-grade RAG implementation with vector database grounding
06Comprehensive SAP AI Launchpad management and role configuration
Use Cases
01Building secure, PII-compliant generative AI applications for SAP environments
02Orchestrating multi-model AI workflows with advanced grounding and filtering
03Scaling machine learning operations (MLOps) from training to production deployment on BTP
