SAP BTP Generative AI is transforming how enterprises create intelligent, context-aware applications. This tutorial provides a practical, hands-on path—designed in Anubhav Training style—to help developers build robust RAG (Retrieval-Augmented Generation) systems integrated with SAP S/4HANA using modern SAP BTP services.
You begin by setting up your SAP BTP subaccount, enabling key services such as Cloud Foundry, Destinations, Connectivity, SAP HANA Cloud, and AI capabilities available in your landscape. With the foundation ready, the first step is document ingestion: extracting text from PDFs, knowledge bases, functional specs, and business process guides. You learn how to chunk the documents, generate embeddings using SAP AI services or external models, and store them in a vector database such as SAP HANA Cloud or Weaviate.
Next, you integrate S/4HANA using secure Destinations and Cloud Connector. This lets your GenAI app fetch real-time business data—sales orders, business partners, materials—directly from S/4HANA and blend it with retrieved knowledge. The core of the tutorial is building a RAG pipeline: embed the user query, semantically search your vector store, combine relevant chunks with live S/4 context, and prompt the LLM to generate accurate, enterprise-safe responses.
You then deploy a lightweight API using Flask or Node.js on Cloud Foundry or Kyma, apply XSUAA security, and create a simple UI—SAP Fiori or Streamlit—to deliver an interactive chat experience. The tutorial emphasizes enterprise concerns: access control, audit logs, hallucination control, prompt governance, data privacy, and model monitoring.
By the end, you will have built a complete, production-ready GenAI assistant capable of answering business questions, summarizing documents, and enhancing S/4HANA processes using secure RAG techniques on sap generative ai.
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