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What is Ragas?

Ragas serves as a comprehensive framework that is open-source and focuses on testing and evaluating applications leveraging Large Language Models (LLMs). This framework features automated metrics that assess performance and resilience, in addition to the ability to create synthetic test data tailored to specific requirements, thereby ensuring quality throughout both the development and production stages. Moreover, Ragas is crafted for seamless integration with existing technology ecosystems, providing crucial insights that amplify the effectiveness of LLM applications. The initiative is propelled by a committed team that merges cutting-edge research with hands-on engineering techniques, empowering innovators to reshape the LLM application landscape. Users benefit from the ability to generate high-quality, diverse evaluation datasets customized to their unique needs, which facilitates a thorough assessment of their LLM applications in real-world situations. This methodology not only promotes quality assurance but also encourages the ongoing enhancement of applications through valuable feedback and automated performance metrics, highlighting the models' robustness and efficiency. Additionally, Ragas serves as an essential tool for developers who aspire to take their LLM projects to the next level of sophistication and success. By providing a structured approach to testing and evaluation, Ragas ultimately fosters a thriving environment for innovation in the realm of language models.

What is EidoStack?

EidoStack is an innovative online platform that allows AI engineers to interact with, evaluate, and select the most appropriate AI models before integrating them into their projects. Users can leverage AI models for routine dialogues and development tasks, providing the opportunity to test the same prompts across different models while easily comparing their outputs side by side. Furthermore, the platform provides valuable insights into token usage, cost estimates, performance indicators, and contextual responses. With features such as customizable system prompts, context management techniques, chat history, model evaluations, and usage analytics, EidoStack equips developers with the tools needed to skillfully navigate a variety of AI models and make sound decisions regarding the best fit for their unique applications. This holistic method not only boosts efficiency but also streamlines the process of selecting AI solutions for various settings, ultimately leading to better outcomes for projects. In this way, EidoStack stands out as a crucial resource for enhancing the capabilities of AI engineers in their quest for optimal model selection.

Media

Media

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Integrations Supported

ChatGPT
Codestral
Codestral Mamba
Gemini 1.5 Flash
Gemini Nano
Google AI Plus
Llama
Llama 2
Llama 3
Llama 3.3
Mathstral
Ministral 8B
Mistral AI
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
OpenAI

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

$10/month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Ragas

Company Location

United States

Company Website

www.ragas.io

Company Facts

Organization Name

EidoStack

Date Founded

2026

Company Location

Ukraine

Company Website

eidostack.com

Categories and Features

LLM Evaluation

Not specified

Categories and Features

LLM Evaluation

Not specified

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