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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

API Access

Has API

Screenshots View All

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Integrations

ChatGPT
DeepEval
Gemini
Gemini 2.0
Gemini Advanced
Gemini Enterprise
Le Chat
Llama
Llama 2
Llama 3
Llama 3.2
MLflow
Mathstral
Ministral 3B
Ministral 8B
Mistral Large
Mistral Small
Mixtral 8x7B
Opik
Pixtral Large

Integrations

ChatGPT
DeepEval
Gemini
Gemini 2.0
Gemini Advanced
Gemini Enterprise
Le Chat
Llama
Llama 2
Llama 3
Llama 3.2
MLflow
Mathstral
Ministral 3B
Ministral 8B
Mistral Large
Mistral Small
Mixtral 8x7B
Opik
Pixtral Large

Pricing Details

$20/month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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

Product Features

Product Features

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