Evaluate GenAI

Comprehensive evaluation framework to test, measure, and improve your AI models with precision and confidence.

Evaluation Workflow

1

Evaluation Data

Bring your own Data or use our Synthetic Data Generator

2

Define Prompts

Compare Foundational Models or Prompts

3

Choose Metrics

Select from over 200+ criteria or define your own

4

Evaluate

Run Retrieval or Generation testing of your RAG or GenAI tools

5

Analyze Results

Review results and fine tune your system

Select your Evaluation Environment

RagMetrics GUI

Run end-to-end evaluations on our GUI. From Synthetic Data Generation to reviewing results.

RagMetrics GUI Interface

API

Integrate the evaluation process in your pipeline using RagMetrics API.

RagMetrics API Code Example

Automated Testing

Run automated evaluation suites across your AI models to identify performance issues before deployment.

Custom Metrics

Define and track custom evaluation metrics that matter most to your specific use case and business needs.

Real-Time Insights

Get instant feedback on model performance with real-time dashboards and detailed analytics.

Comparative Analysis

Compare different models, versions, and configurations side-by-side to make informed decisions.

Ready to Start Evaluating?