DeepEval vs Ragas vs LangSmith
A QA Engineer’s Guide to Testing GenAI Applications
Testing software is no longer enough. In the age of generative AI, quality engineers must learn to test intelligence itself.
Executive Summary
Generative AI is transforming enterprise software at an unprecedented pace.
Organizations are rapidly deploying:
- AI chatbots
- AI-powered search systems
- Document assistants
- Coding copilots
- Autonomous AI agents
Unlike traditional applications, generative AI systems are non-deterministic. The same prompt can produce multiple valid answers.
This introduces new quality challenges, including:
- Response accuracy issues
- Retrieval failures
- Prompt sensitivity
- Agent workflow failures
- Toxicity and bias
- Non-deterministic outputs
To address these challenges, organizations are increasingly turning to three widely adopted platforms for AI testing and evaluation:
ToolPrimary FocusBest ForDeepEval LLM Evaluation Automated AI Testing Ragas RAG Evaluation Retrieval Validation LangSmith Observability & Monitoring Agent Debugging
The Evolution of Software Testing
Phase 1: Manual Testing
Focus Areas:
- Functional Validation
- User Acceptance Testing
- ...
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