Now accepting guest editorial from SAP, Oracle, Workday and ServiceNow practitioners.Pitch a guide
The Sign-Off Table

Academy · AI in SAP · 300 Professional

RAG for SAP: Document Grounding, SAP HANA Cloud Vector Engine and Answers Over SAP Documentation

Retrieval-augmented generation is how AI answers from your own SAP documentation, runbooks and specs instead of guessing. You'll set up document grounding in the generative AI hub, store and query embeddings in the SAP HANA Cloud vector engine, chunk SAP documents well, prove answer quality with a gold question set, and keep answers within each user's access rights.

  • 54 minutes
  • 6 lessons + quiz
  • BTP & Extension Developer, Solution Architect, Integration Specialist
Start the course
  1. 01Why RAG: grounding answers in your own SAP documents10 min
  2. 02Document grounding in the generative AI hub9 min
  3. 03The SAP HANA Cloud vector engine for custom retrieval9 min
  4. 04Chunking SAP content and designing metadata8 min
  5. 05Evaluating retrieval and answer quality9 min
  6. 06Security and permissions: answers that respect access rights9 min
  7. QZCourse quiz12 questions

What you’ll be able to do

  • Explain retrieval-augmented generation and when it beats fine-tuning
  • Ingest documents with the document grounding pipeline or vector API
  • Store and query embeddings with the SAP HANA Cloud vector engine
  • Design chunking and metadata for SAP specs, runbooks and test evidence
  • Evaluate retrieval and answer quality with a question set
  • Apply access control so answers respect document permissions

Sources and further reading