Ship RAG Apps with Confidence

Before your customer support bot tells users the wrong pricing, or your legal Q&A system cites non-existent cases — validate your RAG pipeline with automated testing that catches hallucinations before they reach production.

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// Evaluation Results - Legal Q&A Bot
Question: “What are GDPR penalties for data breaches?”
✓ Faithfulness:0.94
✓ Answer Relevancy:0.91
✗ Context Precision:0.23
Issue: Retrieved blog post instead of EU regulation
⚠ Overall Score:FAIL

From Zero to Production-Ready in 3 Steps

Test Your Current System

Upload 50-100 sample Q&As from your domain. Your customer support conversations, help docs, or internal knowledge base.

Catch Problems Before Users Do

See exactly which answers contradict your sources, miss the point, or retrieve irrelevant context. No manual review needed.

Ship with Confidence

Get concrete scores to fix issues, compare model options, and prove reliability to stakeholders or regulators.

Catch the 4 Most Expensive RAG Failures

Faithfulness

Catch when your bot contradicts its own sources

Example: Support bot says “Free trial is 30 days” when docs clearly state “14 days”

Answer Relevancy

Stop rambling answers that confuse users

Example: User asks for pricing, bot responds with a 3-paragraph history lesson

Context Precision

Fix retrieval that pulls irrelevant documents

Example: Question about API limits retrieves random blog posts instead of documentation

Regression Testing

Never break existing functionality with updates

Example: New model deployment suddenly fails at answering previously-working queries

Don't Let Hallucinations Reach Your Users

Whether you're launching a support bot, legal Q&A system, or any RAG application — test it properly before customers see wrong answers. Join 50+ developers getting early access.