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For More Information: https://sap.to/60567FrTa
SAP Document Grounding is a managed service offering under the Generative AI Hub on SAP Business Technology Platform (BTP). It is built on the principles of Retrieval-Augmented Generation (RAG) but provided as a ready-to-use capability. Instead of designing and maintaining custom data and vector pipelines, developers can directly connect enterprise document sources — such as Amazon S3, SharePoint, SAP Document Management Service (DMS), SAP Work Zone, or SFTP file servers — and use them in AI orchestration workflows with minimal setup.
Once a data source is connected through one of the managed connectors, the service automatically handles document ingestion, chunking, embedding creation, and retrieval. This approach is recommended for most enterprise scenarios, as it provides end-to-end lifecycle management, including automatic content refresh when source documents are updated.
For advanced or large-scale use cases, the Document Grounding Vector API allows developers to directly ingest pre-chunked and pre-embedded data into the service. This method provides fine-grained control over chunking logic, metadata enrichment, and batching behavior — ideal for scenarios where ingestion performance or metadata precision is critical. For example, developers can preprocess documents locally, create embeddings in batches, and push them via the Vector API to optimize throughput. More details can be found in the official documentation: Preparing Data Using Vector API.
By combining automated ingestion with flexible APIs, SAP Document Grounding provides a scalable and enterprise-grade foundation for generative AI applications grounded in trusted, company-specific knowledge.
Key Concepts
Retrieval-Augmented Generation (RAG): A hybrid AI approach that retrieves relevant information from external knowledge sources before generating a response, ensuring accuracy and factual grounding.
Embedding: Numerical representations of text segments (chunks) that capture semantic meaning and are stored for efficient similarity-based retrieval.
Chunking: The process of splitting long documents into smaller, meaningful text blocks to improve retrieval relevance during AI inference.
Managed Connectors: Prebuilt connectors provided by SAP to integrate data sources such as S3, SharePoint, or DMS without custom development. Read More SAP Developers
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