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Description

Relying solely on a few examples is insufficient for thorough evaluation. To gain actionable insights for enhancing your models, it’s essential to gather extensive end-user feedback. With the improvement engine designed for GPT, you can effortlessly conduct A/B tests on models and prompts. While prompts serve as a starting point, achieving superior results necessitates fine-tuning on your most valuable data—no coding expertise or data science knowledge is required. Integrate with just a single line of code and seamlessly experiment with various language model providers like Claude and ChatGPT without needing to revisit the setup. By leveraging robust APIs, you can create innovative and sustainable products, provided you have the right tools to tailor the models to your clients’ needs. Copy AI fine-tunes models using their best data, leading to cost efficiencies and a competitive edge. This approach fosters enchanting product experiences that captivate over 2 million active users, highlighting the importance of continuous improvement and adaptation in a rapidly evolving landscape. Additionally, the ability to iterate quickly on user feedback ensures that your offerings remain relevant and engaging.

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

Screenshots View All

Integrations

Claude
Gemini
Gemini 1.5 Flash
Gemini 2.0 Flash
Gemini Nano
LangChain
Le Chat
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Mathstral
Ministral 3B
Mistral Large
Mistral Small
Mixtral 8x22B
Nekton.ai
OpenAI
Opik
Pixtral Large

Integrations

Claude
Gemini
Gemini 1.5 Flash
Gemini 2.0 Flash
Gemini Nano
LangChain
Le Chat
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Mathstral
Ministral 3B
Mistral Large
Mistral Small
Mixtral 8x22B
Nekton.ai
OpenAI
Opik
Pixtral Large

Pricing Details

No price information available.
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

Humanloop

Website

humanloop.com

Vendor Details

Company Name

Ragas

Country

United States

Website

www.ragas.io

Product Features

Alternatives

Alternatives

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