RAGAS
Featured Open SourceAutomated evaluation framework for RAG pipelines
RAGAS is an open-source framework for evaluating Retrieval-Augmented Generation (RAG) pipelines. It provides reference-free metrics like faithfulness, answer relevance, and context precision using LLM-as-judge methods.
Product Overview
Use Cases
- RAG Evaluation
- LLM Quality Metrics
- Automated Testing for AI
Ideal For
ML EngineersAI QA EngineersRAG Pipeline Developers
Architecture Fit
Enterprise ReadySelf HostedCloud NativeAPI FirstMulti-Agent CompatibleKubernetes SupportOpen Source
Technical Details
- Deployment Model
- self-hosted
- LLM Providers
- OpenAIAnthropicGemini
Screenshots
No screenshots available yet.
Community Feedback
Loading…
Login to leave feedback on this product.