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RagMetrics has partnered with NachoNacho to make cutting-edge AI evaluation and optimization tools accessible to businesses of all sizes. This collaboration simplifies access to advanced tools that enhance AI systems, ensuring reliability, scalability, and measurable ROI.

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What is RagMetrics?

RagMetrics is a platform designed to evaluate and optimize Retrieval-Augmented Generation (RAG) systems and Large Language Models (LLMs). It provides tools for creating custom metrics, running synthetic data evaluations, and implementing scalable A/B testing workflows. By achieving up to 95% human-LLM agreement, RagMetrics ensures that AI systems are accurate, reliable, and bias-free. The platform empowers startups and enterprises to enhance their AI models' performance, accelerate development, and build trust across applications in industries like healthcare, finance, and cybersecurity.

 

 

Key benefits of using RagMetrics?

 

 

1. Improved AI Accuracy and Performance

 

  • Achieve 95% human-LLM agreement through precise evaluation, ensuring reliable outputs from RAG systems and LLMs.  
  • Optimize retrieval and generative metrics to enhance relevance, coherence, and fluency.

 

2. Scalable and Automated Evaluations

 

  • Save time and resources with automated A/B testing workflows, allowing faster iterations on your AI models.  
  • Handle large-scale testing with ease, ensuring consistency and efficiency across evaluations.

3. Custom Metrics for Domain-Specific Needs

 

  • Create tailored evaluation metrics that align with the unique requirements of your industry, whether in healthcare, finance, cybersecurity, or beyond.

 

4. Synthetic Data Testing

 

  • Test models with synthetic, labeled datasets, identifying edge cases and improving model robustness without costly manual data generation.

 

5. Bias Detection and Fairness Assurance

 

  • Identify and mitigate biases in AI systems to ensure compliance with ethical standards and legal requirements.

 

6. Cost-Effective and Time-Efficient

 

- Reduce dependency on human evaluation, cutting costs while maintaining high-quality model assessments.  

- Accelerate deployment timelines with reliable insights into model performance.

 

 

 

7. Trusted Partner for AI Teams

 

  • Trusted by startups and enterprises, RagMetrics helps teams confidently deploy AI solutions, scaling with their growth.  
  •  Build trust and transparency into your AI systems, ensuring stakeholder confidence.

 

 

 
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Girish Gupta

Co-founder, Tellen AI

 

I was thrilled to see this graph from Alon Bochman at RagMetrics yesterday. It demonstrates that our RAG methodology at Tellen employing techniques from semantic search to LLM-based summarization significantly outperforms GPT-4 and all other large language models. Excited to boost these numbers by both leveraging more sophisticated RAG—HyDE, reranking, etc. and other language models, for which we're already building private endpoints in Microsoft Azure. Seems Llama3 could be a good bet!