I will build a rag evaluation harness with grounded quality metrics

I will build a reproducible evaluation workflow for your retrieval-augmented generation system. The work can measure retrieval quality, answer groundedness and response quality against a representative evaluation set.

You will receive Python source code, configuration handling, clear metrics, a machine-readable results file, a concise findings report, automated tests for core paths and a setup guide. Standard and Premium packages include a reusable harness that can be rerun as your prompts, documents or models change.

Before ordering, please share the RAG architecture, a small representative question set, expected source documents and any documented API interface. Use non-production credentials only when an integration is required.

This Gig excludes model fine-tuning, production deployment, regulated decisions, ongoing support and access to confidential production credentials. Scope is agreed before work begins.