Person

Yassin Bahri

Capabilities1

Provides 1
Retrieval-augmented generationBTPABAPRetrieval-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.

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sap-knowledge-pipeline
Functional boundary

Python library turning OData or HANA records into chunked documents

Details

History2
  • sap-knowledge-pipelineentry → createdHanded over as a URL. Filed behind the BTP door because what it reads is an SAP OData service and [SAP HANA](artifact:sap-hana), and neither the library nor its recipes touch CAP, UI5 or ABAP; the repository's own topics are rag, rag-pipeline, sap, sap-btp and sap-hana. One edge, [retrieval-augmented generation](capability:retrieval-augmented-generation): the capability's CAP coverage says the layer above the vector, splitting long text into chunks and deciding what goes into the prompt, is hand-written in every entry there, and that layer is what this library is. [Data import and export](capability:data-import-export) was considered and left off, since that capability is about a file somebody supplies rather than records read out of a live service, and [OData](capability:odata) is about serving a model as OData rather than consuming one. The optional SAP `hdbcli` driver is named in the prose and carries no edge: SAP's Node.js driver is the artifact [@sap/hana-client](artifact:sap-hana-client), so its Python sibling belongs in the graph the same way and not as an external, which is an editorial decision rather than one for this batch.
  • First entry seenDiscovered via Added by hand.
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