Ragas
Overview
Added 03-13-2026
Ragas evaluates your RAG applications with automated metrics so you know if they actually work. It generates synthetic test data and monitors production performance without you building custom evaluation pipelines. Data scientists and ML engineers who need to validate their retrieval systems before shipping to users.
Key Features
- Auto-generates evaluation datasets from your existing data
- Measures faithfulness so answers don't hallucinate facts
- Tracks context precision to catch irrelevant retrievals
- Monitors production RAG quality without manual checking
- Integrates with LangChain and LlamaIndex out-of-box
Use Cases
- Test RAG chatbots before customers find the bugs
- Generate evaluation data from financial reports automatically
- Monitor production search quality without human reviewers
- Validate retrieval accuracy in legal document systems
- Debug why your RAG returns terrible answers
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