详细内容
user@ragas ~ % pip install ragas
Collecting ragas...
Successfully installed ragas
ragas
~ pip install ragas
features
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Metrics
automatic metrics that helps you understand the performance and robustness of your LLM application
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Synthetic evaluation data
synthetically generate high quality and diverse evaluation data customised for your requirements.
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Online Monitoring
evaluate and ensure the quality of your LLM application in production. Use insights to improve your application.
ragas in your stack
About Us
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.
Founders
Shahul
Applied AI research
Kaggle GM
Jithin James
chief maintainer
previously @ BentoML
For support or questions regarding ragas please join discord as questions in #questionschatroom.
For enterprise features and collaborations email us or talk to founders
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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,…
1:53 AM · Feb 16, 2024 Twitter for Websites, Ads Information and Privacy
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Webinar on evaluating RAG systems going live in 5 minutes!
Excited to be joined by the RAGAS team
Harrison Chase
@hwchase17
💪RAGAS is an awesome open-source framework for evaluating RAG systems
🤝We recently integrated LangSmith <> RAGAS for optimal ease of evaluation
🎥We're also doing a webinar on RAG evaluation with them in 5 minutes!!!
Link to webinar and blog 👇
3:55 PM · Aug 24, 2023 Twitter for Websites, Ads Information and Privacy
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Congrats to @shahules786 for creating the only RAG framework directly recommended by openai at devday
Thought leadership is the art of nailing the highest order bit
Harrison Chase
@hwchase17
Great overview of RAGAS!
We also did a webinar with them 2 weeks ago - check it out for more insights of how to evaluate RAG systems!
6:14 PM · Nov 14, 2023 Twitter for Websites, Ads Information and Privacy
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· Follow
💪RAGAS is an awesome open-source framework for evaluating RAG systems
🤝We recently integrated LangSmith <> RAGAS for optimal ease of evaluation
🎥We're also doing a webinar on RAG evaluation with them in 5 minutes!!!
Link to webinar and blog 👇
3:55 PM · Aug 24, 2023 Twitter for Websites, Ads Information and Privacy
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I am blown away by RAGAS
With 10 lines of code, I created a question + answer dataset of Airbnb's latest annual report (10-K).
The dataset has 3 parts:
• questions
• contexts
• ground truth answers
Next step: Evaluate how well various LLMs perform RAG on financial…
6:52 PM · Mar 3, 2024 Twitter for Websites, Ads Information and Privacy
Copy link
· Follow
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,…
1:53 AM · Feb 16, 2024 Twitter for Websites, Ads Information and Privacy
Copy link
· Follow
Webinar on evaluating RAG systems going live in 5 minutes!
Excited to be joined by the RAGAS team
Harrison Chase
@hwchase17
💪RAGAS is an awesome open-source framework for evaluating RAG systems
🤝We recently integrated LangSmith <> RAGAS for optimal ease of evaluation
🎥We're also doing a webinar on RAG evaluation with them in 5 minutes!!!
Link to webinar and blog 👇
3:55 PM · Aug 24, 2023 Twitter for Websites, Ads Information and Privacy
Copy link
· Follow
Congrats to @shahules786 for creating the only RAG framework directly recommended by openai at devday
Thought leadership is the art of nailing the highest order bit
Harrison Chase
@hwchase17
Great overview of RAGAS!
We also did a webinar with them 2 weeks ago - check it out for more insights of how to evaluate RAG systems!
6:14 PM · Nov 14, 2023 Twitter for Websites, Ads Information and Privacy
Copy link
Tweet not found
The embedded tweet could not be found…
· Follow
💪RAGAS is an awesome open-source framework for evaluating RAG systems
🤝We recently integrated LangSmith <> RAGAS for optimal ease of evaluation
🎥We're also doing a webinar on RAG evaluation with them in 5 minutes!!!
Link to webinar and blog 👇
3:55 PM · Aug 24, 2023 Twitter for Websites, Ads Information and Privacy
Copy link
· Follow
I am blown away by RAGAS
With 10 lines of code, I created a question + answer dataset of Airbnb's latest annual report (10-K).
The dataset has 3 parts:
• questions
• contexts
• ground truth answers
Next step: Evaluate how well various LLMs perform RAG on financial…
6:52 PM · Mar 3, 2024 Twitter for Websites, Ads Information and Privacy
Copy link
Careers
We are a small team focused on innovating on state of the art research in AI to provide value to our users. We are always in lookout for passionate individuals who shares similar vision.
Write to us on founders@explodinggradients.com. We are looking to hearing from you.