FURKAN SAKIZLIAI DATA ENGINEERING

RAG · RETRIEVAL

RAG is not a chatbot with attached PDFs

A defensible RAG system separates the knowledge corpus, search, context assembly, synthesis and source binding.

A bright document library passes through a transparent retrieval lens to three selected evidence cards, an ordered context tray and an answer page whose claims are connected to sources by blue lines.
01 · RETRIEVEWere the professionally correct and permitted passages found?
02 · ASSEMBLEAre relations, version, permissions and context budget preserved?
03 · GROUNDDoes every material claim have a verifiable supporting location?
CORE METHOD

INGEST → RETRIEVE → ASSEMBLE → SYNTHESIZE → CITE → EVALUATE

A PDF attachment becomes a defensible RAG pipeline only through controlled selection, source binding and separate evaluation.

THE FOUR-STAGE TEST

Take a document-based answer. Mark separately what was retrieved, assembled into context, synthesised and actually supported by a source.