Lilly Tech Systems
Testing RAG Applications
Test retrieval-augmented generation systems with retrieval quality metrics, context relevance, answer faithfulness, and embedding quality tests.
Course Lessons
Work through these lessons sequentially or jump to the topic most relevant to you.
1. RAG Testing Challenges
Unique challenges of testing RAG
2. Retrieval Quality Metrics
Measuring retrieval quality
3. Context Relevance Testing
Testing context relevance
4. Answer Faithfulness Evaluation
Evaluating answer faithfulness
5. End-to-End RAG Testing
Full RAG pipeline testing
6. Embedding Quality Tests
Testing embedding quality
7. RAG Testing Frameworks
Frameworks for RAG testing
What You'll Learn
By the end of this course, you will be able to:
Core Concepts
Understand the fundamental principles and techniques of testing rag applications for production AI systems.
Practical Skills
Build hands-on skills with real code examples, frameworks, and tools used by industry professionals.
Best Practices
Apply industry best practices and avoid common pitfalls when implementing testing in your ML projects.
Production Ready
Ship reliable, well-tested AI systems with confidence using automated testing pipelines.