SAP HANA Cloud now offers more context-aware AI solutions on its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively.
“SAP HANA Cloud provides building blocks to create the infrastructure for AI apps in a way that is easy to consume. It doesn’t just support AI workloads; it accelerates them, with a single platform that brings together semantics, similarity, and structure in real time,” Philipp Herzig CTO, and Stefan Baeuerle, senior vice president and head of SAP BTP/SAP HANA and Persistency at SAP, wrote in SAP’s latest blog post.
SAP HANA Cloud supports:
- Vector data for semantic and similarity search
- Graph data for explicit relationship modeling and knowledge graphs
- Text and spatial data for real-world context
- Relational data for structured operations and analytics
Rather than sending data across disparate services, users can store and process all of it in one place, accelerating time-to-value while reducing the risk of misalignment. This is multi-model done right, and it is the foundation for powerful AI workloads that scale, according to SAP.
Bringing together SAP HANA Cloud vector engine and SAP HANA Cloud knowledge graph engine empowers developers to build context-aware, intelligent queries that go far beyond keyword matching.
Users can write a single SQL query that brings together relational data, semantic reasoning via SPARQL (embedded in SQL), and vector similarity search, using native SQL functions—all in one go: no ETL, no separate infrastructure, just one unified, in-memory engine.
This approach not only speeds up development but enables new types of AI applications that were not previously practical in siloed environments.
We have brought in new capabilities into SAP HANA Cloud, whether you are grounding an LLM in unstructured text (VectorRAG), structured knowledge graphs (GraphRAG), or both simultaneously (combination of VectorRAG and GraphRAG).
SAP HANA Cloud ensures transparency, traceability, and performance throughout the generative AI pipeline with all the database management qualities. You get explainable answers and full control over how you retrieve, rank, and assemble information, which is vital for regulated industries.
SAP HANA Cloud offers developers:
- One platform for all data models: Combined structured, unstructured, and semantic data without stitching together multiple systems
- Built-in support for modern AI workloads: Enable use cases like RAG without external vector stores or pipelines
- Tight integration with SAP and open ecosystems: Leverage SAP Business Technology Platform and popular open-source tools with minimal setup
- Focus on innovation, not infrastructure: Eliminate the need to manage and maintain separate triplestores, search engines, or vector databases
For more information about this news, visit www.sap.com.