MLCLabs RAG Evaluation Pack

WHO IT IS FOR

AI engineers and reviewers assessing retrieval and answer behavior.

WHEN TO USE IT

Evaluate retrieval and answer behaviour separately, find specific failure modes and record the evidence required for a release review.

A human-review evaluation workbook, a fictional mini-corpus and twelve benchmark cases. Includes a clean test-case template; no API calls or paid evaluator are required.

WHAT YOU RECEIVE

Editable XLSX workbook with clean working templates and separate fictional worked examples; offline printable HTML guide; text decision record; quick-start instructions and licence terms.

Additional files: Benchmark_Cases.csv, Benchmark_and_Review_Rubric.txt, Fictional_Corpus.txt.

Version 0.1. Digital ZIP download.

SCOPE

The pack calculates basic document precision/recall and a transparent case rubric. It does not calculate NDCG, statistical confidence, model-judge scores or execute a model. Document recall is not answer correctness. Use a larger representative dataset, multiple runs and specialist review for the actual application.

COMPATIBILITY

LibreOffice native recalculation checked on 12 October 2026. Microsoft Excel desktop remains unverified. The unchanged v0.1 guide records the earlier compatibility status. Run the worked example in your intended spreadsheet application before operational use. No macros or external workbook links. No DOCX or PDF documents are supplied.

LICENCE AND SUPPORT

Single purchasing organisation internal reuse, including contractors working for it only. No blank-pack resale, redistribution, sublicensing or use for other client organisations. Client-delivery licensing requires separate agreement. Supplied-file defect support: sales@mgca.co.uk. No consulting, customisation, project review, deployment support, certification, response-time or future-update entitlement. Statutory rights preserved. Full terms are included in Terms.txt.

Price: GBP 99, including VAT. No platform subscription or customer system access is included.

COMPLEMENTARY PACK

MLCLabs AI Release Decision Pack: Combine evaluation results with access, operations and recovery evidence. Sold separately.

https://payhip.com/b/fkYt9

Gallery images show excerpts from the supplied working template, fictional example and decision record.