product
Data quality: Editorially ReviewedLanguage (LLM / NLP)
Free
MLOps & Infrastructure
Software & technology
Workflow orchestration
API / SDK
Self-hosted / on-premises
Developer tool
Ragas
MLOps & Infrastructure
Overview
Ragas is an open-source evaluation framework for RAG pipelines that provides metrics for retrieval quality, generation faithfulness, and answer relevance. It helps developers measure and improve RAG system performance through automated evaluation, synthetic test data generation, and integration with LangChain, LlamaIndex, and other frameworks.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, API / SDK
- Regions served
- Global
- Categories
- Language (LLM / NLP), Free, MLOps & Infrastructure, Software & technology, Workflow orchestration, API / SDK, Self-hosted / on-premises, Developer tool
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
Self-hosted / on-premises
API / SDK
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- docs.ragas.io
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.