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Table of Contents

• ↓ features
• ↓ automatic metrics that helps you understand the performance and robustness of your LLM application
• ↓ synthetically generate high quality and diverse evaluation data customised for your requirements.
• ↓ evaluate and ensure the quality of your LLM application in production. Use insights to improve your application.
• ↓ ragas in your stack
• ↓ About Us
• ↓ Top Alternatives to ragas.io

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Official Contact & Profiles

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Content Snippets from ragas.io

"We are a group of passionate individuals who are leveraging cutting-edge research and pragmatic engineering practices to empower the visionaries who are redefining the possibilities of LLMs, with the right tools."

"For support or questions regarding ragas please join discord as questions in #questions chatroom."

"For enterprise features and collaborations email us or talk to founders"

"LlamaIndex + RAGAs Cookbook 🧑‍🍳 The first step to building any advanced RAG application is defining quality metrics, and RAGAs (@Shahules786) is a popular framework to comprehensively evaluate a RAG app component-wise and e2e. Metrics: Context relevance/recall/precision,"

Key Topics & Focus Areas for ragas.io:

features

automatic metrics that helps you understand the performance and robustness of your LLM application

synthetically generate high quality and diverse evaluation data customised for your requirements.

evaluate and ensure the quality of your LLM application in production. Use insights to improve your application.

ragas in your stack

About Us