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Average Ratings 0 Ratings

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features
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support

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Description

RagMetrics serves as a robust evaluation and trust platform for conversational GenAI, aimed at measuring the performance of AI chatbots, agents, and RAG systems both prior to and following their deployment. It offers ongoing assessments of AI-generated responses, focusing on factors such as accuracy, relevance, hallucination occurrences, reasoning quality, and the behavior of tools utilized in real interactions. The platform seamlessly integrates with current AI infrastructures, enabling it to monitor live conversations without interrupting the user experience. With features like automated scoring, customizable metrics, and in-depth diagnostics, it clarifies the reasons behind any failures in AI responses and provides solutions for improvement. Users can conduct offline evaluations, A/B testing, and regression testing, while also observing performance trends in real-time through comprehensive dashboards and alerts. RagMetrics is versatile, being both model-agnostic and deployment-agnostic, which allows it to support a variety of language models, retrieval systems, and agent frameworks. This adaptability ensures that teams can rely on RagMetrics to enhance the effectiveness of their conversational AI solutions across diverse environments.

Description

Ragas is a comprehensive open-source framework aimed at testing and evaluating applications that utilize Large Language Models (LLMs). It provides automated metrics to gauge performance and resilience, along with the capability to generate synthetic test data that meets specific needs, ensuring quality during both development and production phases. Furthermore, Ragas is designed to integrate smoothly with existing technology stacks, offering valuable insights to enhance the effectiveness of LLM applications. The project is driven by a dedicated team that combines advanced research with practical engineering strategies to support innovators in transforming the landscape of LLM applications. Users can create high-quality, diverse evaluation datasets that are tailored to their specific requirements, allowing for an effective assessment of their LLM applications in real-world scenarios. This approach not only fosters quality assurance but also enables the continuous improvement of applications through insightful feedback and automatic performance metrics that clarify the robustness and efficiency of the models. Additionally, Ragas stands as a vital resource for developers seeking to elevate their LLM projects to new heights.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Athina AI No 
ChatGPT No 
Gemini 1.5 Flash No 
Gemini 1.5 Pro No 
Gemini 2.0 Flash No 
Google AI Plus No 
LangChain No 
Llama No 
Llama 3 No 
Llama 3.2 No 
MLflow No 
Ministral 3B No 
Ministral 8B No 
Mistral AI No 
Mistral Large No 
Mistral NeMo No 
Mixtral 8x22B No 
Opik No 
Pixtral Large No 

Integrations

Athina AI Yes 
ChatGPT Yes 
Gemini 1.5 Flash Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Flash Yes 
Google AI Plus Yes 
LangChain Yes 
Llama Yes 
Llama 3 Yes 
Llama 3.2 Yes 
MLflow Yes 
Ministral 3B Yes 
Ministral 8B Yes 
Mistral AI Yes 
Mistral Large Yes 
Mistral NeMo Yes 
Mixtral 8x22B Yes 
Opik Yes 
Pixtral Large Yes 

Pricing Details

$20/month
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

RagMetrics

Founded

2024

Country

United States

Website

ragmetrics.ai/

Vendor Details

Company Name

Ragas

Country

United States

Website

www.ragas.io

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Product Features

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