Benchmark current research-query and direct lexical baselines against experimental vector, BM25, typed concept-graph PPR, and RRF source selection without replacing production retrieval.
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---
namespace: aiwg
platforms: [all]
name: corpus-retrieval-lab
description: Benchmark current research-query and direct lexical baselines against experimental vector, BM25, typed concept-graph PPR, and RRF source selection without replacing production retrieval.
triggers:
- benchmark corpus retrieval
- hybrid retrieval lab
- compare research query retrieval
commandHint:
argumentHint: "--queries <jsonl> --concepts <json> [--expected-scheme-hash <sha256>] [--json] [--out <path>]"
allowedTools: Read, Bash
category: research-retrieval
---
# Corpus Retrieval Lab
Run the local experimental benchmark:
```bash
aiwg corpus retrieval-lab --queries <jsonl> --concepts <json> --json
```
Use reviewed narrow implementation questions with expected REF evidence. Preserve the current `research-query` behavior regardless of the result; the report may only recommend a later explicit adoption decision.
The lab reports baseline and hybrid Hit@k, MRR, latency, failures, confidence/dispersion, faithfulness, and concept-scheme drift. Use `--expected-scheme-hash` when comparing runs across time.
See `docs/guides/corpus-retrieval-lab.md` for fixture schemas and interpretation.
