Introductionยถ

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 LLMโ€™s context. There are existing tools and frameworks that help you build these pipelines but evaluating it and quantifying your pipeline performance can be hard. This is where Ragas (RAG Assessment) comes in.

๐Ÿš€ Get Started

Learn the basics and become familiar with the Ragas metrics and how to evaluate RAG pipelines with it, how to generate synthetic testsets to run evaluations against and setting up online monitoring for your RAG apps.

๐Ÿš€ Get Started
๐Ÿ“š Core Concepts

The high-level explanations for building a better understand about the important topics such how to think about metrics-driven development, how the Ragas metrics work under the hood and synthetic dataset generation.

๐Ÿ“š Core Concepts
๐Ÿ› ๏ธ How-to Guides

Practical guides to help you achieve a specific goals. Take a look at these guides to learn how to use Ragas to solve real-world problems.

๐Ÿ› ๏ธ How-to Guides
๐Ÿ“– References

Technical descriptions of how Ragas classes and methods work.

๐Ÿ“– References