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A Use Case for HANA Cloud Knowledge Graph: AI‑Driven Tender Analysis

Matching unstructured text against internal data, using both HANA engines at once — the Knowledge Graph for the relationships and the Vector Engine for similarity — with CAP holding the application and its data. Notes that the Knowledge Graph Engine is off by default and has to be enabled when the instance is created, which is the kind of thing that stops a weekend.

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Retrieval-augmented generationRetrieval-augmented generationcapabilityGrounding a model's answer in data retrieved at question time: text split into chunks, each chunk embedded as a vector, and the chunks nearest to the question placed into the prompt. Semantic search is the same retrieval with a person reading the matches, and fine-tuning changes the model's weights, not its input.Database connectorsDatabase connectorscapabilityConnecting an application’s data model and queries to a database, including the differences in supported queries, types and schema management between database implementations. Changing an existing schema belongs to [schema evolution](capability:schema-evolution).
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explainsRetrieval-augmented generationcapability, core and community
explainsDatabase connectorscapability, core and community
published onSAP Communitypublishing source
discovered viaSAP Communitycap-tag
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