Ragas

Ragas Python Library

The Ragas Python library is the primary surface of the project, installed via `pip install ragas` and imported as `ragas`. It exposes evaluation entry points (`ragas.evaluate`), metric classes (Faithfulness, AnswerRelevancy, ContextPrecision, ContextRecall, FactualCorrectness, SemanticSimilarity, ToolCallAccuracy, AgentGoalAccuracy, and more), dataset generation utilities, and integrations with LangChain and LlamaIndex. The library is not an HTTP API — it is consumed in-process by Python evaluation scripts, notebooks, and CI pipelines.

Ragas Python Library is published by Ragas on the APIs.io network.

Tagged areas include Python, Library, Evaluation, and RAG. The published artifact set on APIs.io includes API documentation and SDKs.

GitHub

Documentation

📖
Documentation
https://docs.ragas.io/

SDKs

📦
SDK
https://pypi.org/project/ragas/

Other Resources

🔗
SourceCode
https://github.com/explodinggradients/ragas
🔗
License
https://github.com/explodinggradients/ragas/blob/main/LICENSE

API entry from apis.yml

apis.yml Raw ↑ 
aid: ragas-ai:ragas
name: Ragas Python Library
description: The Ragas Python library is the primary surface of the project, installed via `pip install
  ragas` and imported as `ragas`. It exposes evaluation entry points (`ragas.evaluate`), metric classes
  (Faithfulness, AnswerRelevancy, ContextPrecision, ContextRecall, FactualCorrectness, SemanticSimilarity,
  ToolCallAccuracy, AgentGoalAccuracy, and more), dataset generation utilities, and integrations with
  LangChain and LlamaIndex. The library is not an HTTP API — it is consumed in-process by Python evaluation
  scripts, notebooks, and CI pipelines.
humanURL: https://docs.ragas.io/
tags:
- Python
- Library
- Evaluation
- RAG
properties:
- url: https://docs.ragas.io/
  type: Documentation
- url: https://github.com/explodinggradients/ragas
  type: SourceCode
- url: https://pypi.org/project/ragas/
  type: SDK
- url: https://github.com/explodinggradients/ragas/blob/main/LICENSE
  type: License