

Ragaai
Overview :
RagaAI Catalyst is a platform focused on AI observability, monitoring, and evaluation, designed to help developers and enterprises optimize AI development workflows. It provides a user-friendly dashboard ranging from visualizing tracking data to execution graphs, supporting in-depth debugging and performance improvements. The platform emphasizes security and reliability, ensuring contextually accurate LLM responses through RagaAI Guardrails and reducing the risk of hallucinations. Furthermore, RagaAI Catalyst supports customized evaluation logic, meeting the comprehensive testing needs of specific use cases. Its open-source nature also provides enterprises with transparency and flexibility, making it suitable for enterprises and developers who want to achieve efficient, secure, and scalable AI development.
Target Users :
This product is suitable for enterprises and developers who need to optimize AI development workflows and ensure the security and reliability of AI models. It is especially suitable for professionals who want to achieve efficient debugging, performance evaluation, and customized testing in AI projects, as well as teams that need open-source solutions.
Use Cases
Pinterest's senior machine learning expert Aayush Mudgal considers RagaAI's evaluation and guardrail suite a top tool for AI developers, highlighting its comprehensiveness and open-source nature.
Satsure used RagaAI's automated testing suite to address data labeling quality issues, significantly improving the accuracy of its AI models.
LightMetrics uses RagaAI's large-scale A/B testing and pipeline testing capabilities to ensure optimal AI performance for its vehicle video telemetry solution.
Features
Visualize tracking data and execution graphs, providing a user-friendly dashboard
Support in-depth debugging, monitoring tools and agents for deeper insights
Built-in evaluation tools to enhance AI performance
Provide comprehensive tracking logs, recording LLM calls, user chats, and tool usage
Support enterprise-level experiment management, providing a detailed overview and comparative analysis of runs
Integrate human feedback, supporting model fine-tuning and iterative improvement
Generate context-aware synthetic data to meet specific needs
Support custom evaluation logic to ensure comprehensive testing for specific use cases
How to Use
Access the RagaAI official website and register an account.
Choose a suitable plan (free trial or paid version) and complete the relevant settings.
Import the AI agent or model to be evaluated into the dashboard.
Use visualization tools to view tracking data and execution graphs for debugging and performance analysis.
Configure custom evaluation logic and experiment management functions as needed.
Use RagaAI Guardrails to ensure the security and reliability of model output.
Create context-aware synthetic datasets using the synthetic data generation tool.
Optimize the model based on feedback and experimental results to complete iterative improvements.
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