Ragas
Ragas is a library that provides tools to supercharge the evaluation of Large Language Model (LLM) applications. It is designed to help you evaluate your LLM applications with ease and …
Metrics - Ragas
Oct 3, 2025 · Ragas Office Hours - If you need help setting up Evals for your AI application, sign up for our Office Hours here.
Introduction | Ragas
Ragas is a framework that helps you evaluate your Retrieval Augmented Generation (RAG) pipelines. RAG denotes a class of LLM applications that use external data to augment the …
Core Concepts - Ragas
📚 Core Concepts Components Guides Discover the various components used within Ragas. Components like Prompt Object, Evaluation Dataset and more.. : Ragas Metrics Explore …
Faithfulness - Ragas
from ragas.dataset_schema import SingleTurnSample from ragas.metrics import Faithfulness sample = SingleTurnSample( user_input="When was the first super bowl?", response="The …
Evaluate a simple RAG - Ragas
The purpose of this guide is to illustrate a simple workflow for testing and evaluating a RAG system with ragas. It assumes minimum knowledge in building RAG system and evaluation.
Get Started - Ragas
Sep 24, 2025 · If you're new to Ragas, the Get Started guides will walk you through the fundamentals of working with Ragas. These tutorials assume basic knowledge of Python and …
Generate Synthetic Testset for RAG - Ragas
If you are using a different LLM provider and using LangChain to interact with it, you can wrap your LLM in LangchainLLMWrapper so that it can be used with ragas.
Evaluate your first LLM App - Ragas
The purpose of this guide is to illustrate a simple workflow for testing and evaluating an LLM application with ragas. It assumes minimum knowledge in AI application building and evaluation.
️ How-to Guides - Ragas
The how-to guides offer a more comprehensive overview of all the tools Ragas offers and how to use them. This will help you tackle messier real-world usecases when you’re using the …