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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Okareo is a cutting-edge platform created for AI development, assisting teams in confidently building, testing, and monitoring their AI agents. It features automated simulations that help identify edge cases, system conflicts, and points of failure prior to deployment, thereby ensuring the robustness and reliability of AI functionalities. With capabilities for real-time error tracking and smart safeguards, Okareo works to prevent hallucinations and uphold accuracy in live production scenarios. The platform continuously refines AI by utilizing domain-specific data and insights from live performance, which enhances relevance and effectiveness, ultimately leading to increased user satisfaction. By converting agent behaviors into practical insights, Okareo allows teams to identify successful strategies, recognize areas needing improvement, and determine future focus, significantly enhancing business value beyond simple log analysis. Additionally, Okareo is designed for both collaboration and scalability, accommodating AI projects of all sizes, making it an indispensable resource for teams aiming to deliver high-quality AI applications efficiently and effectively. This adaptability ensures that teams can respond to changing demands and challenges within the AI landscape.

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

Screenshots View All

Integrations

Athina AI No 
Claude No 
Codestral Mamba No 
Gemini 1.5 Flash No 
Gemini 2.0 No 
Gemini Pro No 
Google AI Plus No 
LangChain No 
Llama 3 No 
Llama 3.1 No 
Llama 3.2 No 
MLflow No 
Mathstral No 
Ministral 8B No 
Mistral AI No 
Mistral Small No 
Mixtral 8x22B No 
OpenAI No 
Opik No 

Integrations

Athina AI Yes 
Claude Yes 
Codestral Mamba Yes 
Gemini 1.5 Flash Yes 
Gemini 2.0 Yes 
Gemini Pro Yes 
Google AI Plus Yes 
LangChain Yes 
Llama 3 Yes 
Llama 3.1 Yes 
Llama 3.2 Yes 
MLflow Yes 
Mathstral Yes 
Ministral 8B Yes 
Mistral AI Yes 
Mistral Small Yes 
Mixtral 8x22B Yes 
OpenAI Yes 
Opik Yes 

Pricing Details

$199 per month
Free Trial No 
Free Version Yes 

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 No 
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 No 
Live Training (Online) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Okareo

Founded

2023

Country

United States

Website

okareo.com

Vendor Details

Company Name

Ragas

Country

United States

Website

www.ragas.io

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Product Features

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