Use Piika

Use Piika

Operate Piika through its package entrypoints and benchmark manifests. Prefer dry runs and manifest-backed defaults so run artifacts preserve the actual experimental condition.

Establish context

1. Work from the repository root containing package.json.
2. Inspect git status --short --branch; do not disturb unrelated work.
3. Read README.md for the current high-level workflow.
4. Read docs/cli.md when using the packaged piika CLI or prebuilt indexes.
5. Read references/workflows.md for the command and option matrix.
6. Use --help and --dry-run before unfamiliar or expensive operations.

Choose the benchmark source

• Use a built-in benchmark when npm run run:benchmark:query-set -- --help lists it.
• Use npm run prebuilt -- setup ... for a Castorini prebuilt index/topics/qrels combination.
• Use npm run install:benchmark-manifest -- --manifest <path> for any other reusable benchmark. Validate first with --dry-run.
• Use explicit --query-file, --qrels, and --index-path only for ad hoc experiments where generic benchmark identity in the run manifest is acceptable.

Never add a dataset-specific TypeScript registry entry when an installed manifest expresses the same configuration.

Choose the backend and topology

• Prefer the default direct pyserini-rest-2tool interface for remote Pyserini and ordinary local runs.
• Use pi-serini-3tool only to reproduce cached search-result browsing behavior.
• Use the single-process runner for smoke tests and small query sets.
• Use shared BM25 when multiple queries should reuse one local backend.
• Use sharded shared BM25 for parallel production runs.

Confirm that the configured index is reachable before launching a long run. A remote index name is not a local filesystem path.

Choose outputs

• Use answer for question answering.
• Use ranked_list for TREC-style document rankings.
• Use answer+ranked_list to produce both from one research pass.
• Set --ranked-list-depth as a maximum.
• Set --ranked-list-count only when an exact list length is an intentional experimental constraint.
• Add --supplied-doc-bundle when each query includes preselected evidence. Ensure bundle qids align with qrels and ground truth.

Execute and verify

1. Print the launch plan with --dry-run.
2. Run a small --limit smoke test when using a new model, backend, or dataset.
3. Launch the intended full topology.
4. Run retrieval evaluation when qrels exist.
5. Run judge evaluation in gold-answer or reference-free mode as appropriate.
6. Generate a report from the same run directory.
7. Inspect the run's benchmark_manifest_snapshot.json and run_setup.json before comparing results.

Treat provider usage limits, missing indexes, judge nonzero exits, malformed ground truth, and qid mismatches as failed setup—not valid benchmark outcomes.