Overview
- An arXiv evaluation released Feb. 10 tests standard RAG, Self-RAG, and CoRAG on SQL, REST API calls, and a combined classification task using an SAP Transactional Banking dataset.
- Without retrieval, exact-match accuracy was 0% across tasks, while retrieval raised execution accuracy to as high as 79.30% and component-match accuracy to 78.86%.
- CoRAG led in hybrid documentation settings, reaching 10.29% exact match on the combined task versus 7.45% for standard RAG, driven by stronger SQL generation at 15.32% versus 11.56%.
- The study identifies retrieval-policy design as pivotal, finding iterative query decomposition outperforms top‑k retrieval and binary relevance filtering under documentation heterogeneity.
- A same-day DEV explainer outlines the RAG workflow, common use cases, and starter tooling such as vector stores and prompt augmentation for developers adopting the pattern.