# Changelog of RAG Dataset Quality Auditor (`gifted_wagon/rag-dataset-quality-auditor`) Actor

- **URL**: https://apify.com/gifted\_wagon/rag-dataset-quality-auditor/changelog.md
- **Full Actor documentation**: https://apify.com/gifted\_wagon/rag-dataset-quality-auditor.md

## Changelog

### 0.2.0 — Public early access

- Add a launch-focused input experience and Store documentation.
- Accept the default dataset supplied by Apify Actor integrations.
- Stop expensive audit work at the user's pay-per-event spending limit.
- Publish tiered per-document pricing and production runtime defaults.
- Add a unique Store icon and verified quick-start examples.

### 0.1.1 — Benchmark hardening

- Add a reproducible 35-document benchmark derived from pinned Node.js, Python, and React documentation.
- Remove a moderate-repetition false positive found in clean API documentation.
- Prevent the safe sample document from displacing records in dataset-only cloud runs.
- Verify restricted input/output storage, deterministic local/cloud parity, and all planted quality findings.

### 0.1.0 — Private alpha

- Accept inline documents and existing Apify datasets.
- Add deterministic completeness, length, freshness, repetition, lexical-diversity, exact-duplicate, and near-duplicate checks.
- Add explainable document scores, dataset schema/views, run summary, and PPE-ready `document-audited` event support.