This lab is currently in Beta — content may be updated as we refine the material
LABINTERMEDIATE
RAG Evaluation and Testing
Implement automated RAG evaluation with retrieval quality tests, answer relevance scoring, and regression test suites.
45 minutes
ai-infrastructure/rag
Lab Overview
This hands-on lab teaches you to evaluate and test RAG systems.
You'll learn to:
- Create evaluation datasets with ground truth
- Implement retrieval quality metrics (Precision, Recall, MRR)
- Build automated evaluation pipelines
- Create regression tests for CI/CD integration
This lab ensures your RAG system maintains quality over time.
Prerequisites
rag-api-service
Technologies Covered
ragevaluationtestingmetricsci-cd
Part of a Course
This lab is part of the RAG Architectures and Vector Databases course
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Content & Learning
- Access to all courses and bootcamps
- Video lessons with closed captions
- Interactive quizzes and assessments
- Course completion certificates
Hands-On Labs
- Browser-based cloud labs
- Pre-configured VMs ready to use
- Playgrounds for experiments
- Multi-VM realistic scenarios
AWS Integration
- Managed AWS Account included
- Pre-configured environments
- Real-world cloud scenarios
Support & Community
- Priority support
- Active community forum
No Setup Required
- Everything runs in your browser
- No software installation needed
- Automatic environment provisioning
- Works on any device
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