A Cognitive Benchmark for Code-RAG Retrieval: Part 2 — Why Model Rankings Depend on the Pipeline (opens in new tab)

When developers enter an unfamiliar project, they rarely search for a specific file by name. They usually ask about system behavior: where incoming connections are accepted, which component cleans logs, or how a request travels between architectural layers. Code-RAG tries to answer such questions through semantic search. It splits and indexes the source code, then retrieves the context most closely related to a developer's query. The quality of this search is often reduced to the choice of em...