Catch RAG Regressions Before Users Search

RAG quality shifts when content, retrieval, prompts, or models change. ProofMap helps teams test the full behavior, not just retrieval scores.

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Why Choose ProofMap

QA

Test answer quality

Evaluate whether retrieved context leads to correct, grounded, useful responses.

MCP

Detect retrieval drift

Find cases where new indexes, embeddings, or chunking strategies change outcomes.

OK

Approve changes safely

Promote RAG updates only after they pass workflow-specific criteria.

Comparison

WorkflowWithout ProofMapWith ProofMap
Evaluate AI behaviorTeams rely on demos, logs, and manual spot checks.Run objective-bound evaluations against prompts, models, MCP tools, and runtime mappings.
Handle changePrompt, model, context, schema, memory, or vendor changes create hidden regressions.Compare candidates to baselines and promote only qualified packages.
Support developersDevelopers trace failures across tools, providers, data, and one-off scripts.Failures become repeatable tests with clear evidence and recommended fixes.
Control production riskFallbacks, permissions, and degraded modes are invented when pressure hits.Approved mappings and fallback paths are ready before launch, incidents, or migration deadlines.

Frequently Asked Questions

Why does RAG need regression testing?

RAG systems depend on changing content, retrieval settings, prompts, and runtime behavior, so quality can drift silently.

Can ProofMap test retrieval and generation together?

Yes. It evaluates the outcome of the full agent or workflow, including context use and final answer quality.

How does this save developer time?

It makes evaluation, debugging, approval, and regression testing repeatable instead of forcing developers to rebuild evidence for every AI change.

What does ProofMap produce?

ProofMap produces objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings for production use.

Protect RAG quality

Test retrieval changes before they become user-facing regressions.

Start qualifying prompts