Tag: retrieval-augmented-generation

RepoBench decomposed repository-level code completion into retrieval, generation, and full-pipeline tasks, making cross-file context selection a measurable part of coding-model quality.

The 2020 RAG architecture joined dense document retrieval with sequence generation, giving language models an explicit external memory they could search before producing answers.