# Brief: rag-eval-pipeline-closure

## Background

The modular RAG pipeline now returns `LookupResult` with `evidenceBlocks`, `contextPack`, `retrievalTrace`, and `rerankTrace`. The RAG retrieval baseline must validate that full contract, so it can detect regressions in fallback behavior, context packing, or rerank trace.

## Goals

1. Reuse the existing offline RAG retrieval baseline.
2. Extend it to support modular `LookupResult` fixtures.
3. Add golden assertions for selected attempt, fallback reason, evidence status, context sources, and rerank top source.
4. Add a RAG baseline diff path for regression detection.
5. Add a snapshot generator that calls the real `LookupKnowledgeTool`.
6. Document how RAG baseline and diagnosis baseline form a quality loop.

## Non-Goals

- No new production API.
- No LLM-as-judge scoring.
- No production API behavior changes.
- No replacement for diagnosis eval.