Retrieval Augmented Generation (RAG)
The concept name was not provided (marked as "undefined"), and the available source snippets do not contain enough detail to identify or define a specific SAP developer concept with confidence. Based on the sources, the closest identifiable concept is Retrieval Augmented Generation (RAG), which is a technique used to gain more control over the prompting results of a Large Language Model (LLM) by leveraging your own data. Developers use it within Generative AI on SAP BTP to ground LLM responses in enterprise-specific content, for example through HANA vector search or SAP AI Core orchestration.
Tutorials that teach this
- Tutorial Orchestration with Grounding Capabilities in SAP AI Core
- Tutorial Retrieval Augmented Generation using generative-ai-hub-sdk and HANA vector search
- Tutorial Use Joule Studio, Classic Edition with Document Grounding
- Tutorial GenAI Grounding Evaluations with SAP AI Core
- Tutorial Orchestration(V2) with Grounding Capabilities in SAP AI Core
- Tutorial 🔵 Devtoberfest 2025 - Week 4 - Data & AI sessions
- Tutorial Set up and use the Data Exploration Tools
- Tutorial Orchestration with Grounding Capabilities in SAP AI Core (Interview Question Generation Use Case)
Docs explaining this concept
Discovery missions teaching this
- Mission Augment Human Experience with Retrival Augmented Generation (RAG) on SAP BTP
- Mission Accelerate Smart Supplier Selection with Retrieval-Augmented Generative AI
- Mission Harnessing Generative AI Capabilities with SAP HANA Cloud Vector Engine
- Mission GenAI Mail Insights: Develop a CAP application using GenAI and Retrieval Augmented Generation (RAG)
Code samples embodying this
Prerequisites
- Concept Generative AI Embeddings with LLMs
- Concept Grounding Large Language Models (LLMs) with Enterprise Data The concept name was not provided, making it impossible to write a meaningful or accurate reference definition grounded in the supplied sources. Please provide the specific concept (for example, "Grounding Evaluation," "SAP AI Core," or another term from the tutorial) so a precise definition can be written.
- Concept SAP HANA Cloud Vector Engine The concept name provided is "undefined," which does not correspond to a identifiable SAP developer concept. No meaningful or accurate definition can be produced from the available sources for a concept labeled "undefined."
- Concept Vector Embeddings The concept name was not provided and cannot be determined from the available sources. Unable to generate a valid definition.
- Concept Generative AI Hub & LLM Integration via SAP AI Core The concept name was not provided (received "undefined"), so a grounded definition cannot be written. Please supply a valid SAP developer concept name so that a definition can be crafted from the available sources.
- Concept Vector Embeddings and Semantic Search The concept name was not provided, so a definition cannot be accurately produced from the given sources. The sources describe orchestration and grounding capabilities in SAP AI Core, but without a specific concept to define, any definition would be speculative and unsupported by the provided snippets.
- 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.
Concepts that build on this
- Concept Document Grounding via Microsoft SharePoint in SAP AI Core
- Concept Document Grounding with S3 Object Store in Joule Studio
- Concept SAP AI Core Orchestration Service
- Concept AI Grounding with Enterprise Data
- Concept Generative AI Custom Evaluation in SAP AI Core
- Concept Devtoberfest Data & AI Sessions Overview