Ragas
Evaluation framework for retrieval-augmented generation
Ragas is an open-source framework for evaluating retrieval-augmented generation pipelines. It provides metrics for faithfulness, answer relevancy, and context precision that can be run entirely on self-hosted infrastructure.
Key features
- RAG-specific metrics
- Synthetic test set generation
- Framework agnostic
- Local evaluation
Strengths
- Released under the Apache-2.0 license
- Mature project with 15.2k GitHub stars
- Written in Python
Ragas replaces
Compare Ragas
18 head-to-head comparisons.
- Ragas vs OpenClaw
- Ragas vs Hermes Agent
- Ragas vs OpenCode
- Ragas vs Hugging Face Transformers
- Ragas vs Langflow
- Ragas vs Dify
- Ragas vs PaddleOCR
- Ragas vs RAGFlow
- Ragas vs OpenHands
- Ragas vs screenshot-to-code
- Ragas vs Langfuse
- Ragas vs promptfoo
- Ragas vs DeepEval
- Ragas vs Prompt flow
- Ragas vs Arize Phoenix
- Ragas vs OpenLLMetry
- Ragas vs Agenta
- Ragas vs Weave
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