Relari: Testing and Simulation Stack for GenAI Systems Howto
Relari is an open-source platform that provides a comprehensive testing and simulation stack to evaluate, validate, and improve complex Generative AI (GenAI) applications throughout the development lifecycle.
View MoreHow to Use Relari: Testing and Simulation Stack for GenAI Systems
Install continuous-eval: Install Relari's open-source evaluation framework 'continuous-eval' by running: git clone https://github.com/relari-ai/continuous-eval.git && cd continuous-eval poetry install --all-extras
Generate synthetic data: Create a free account on Relari.ai and use their cloud platform to generate custom synthetic datasets that simulate user interactions for your specific use case (e.g. RAG, agents, copilots)
Define evaluation pipeline: Use continuous-eval to set up an evaluation pipeline that tests each component of your GenAI application separately, allowing you to pinpoint issues to specific parts of the system
Select evaluation metrics: Choose from Relari's 30+ open-source metrics or create custom metrics to evaluate text generation, code generation, retrieval, classification, and other LLM tasks relevant to your application
Run evaluation: Execute the evaluation pipeline on your synthetic datasets to stress test your GenAI application and identify areas for improvement
Analyze results: Review the component-level metrics and overall system performance to understand where issues originate and prioritize improvements
Optimize prompts: Use Relari's auto prompt optimizer to systematically improve your LLM prompts based on the evaluation results
Iterate and improve: Make targeted improvements to your GenAI application based on the evaluation insights, then re-run the evaluation to measure progress
Monitor in production: Leverage Relari's runtime monitoring capabilities to continuously evaluate and improve your GenAI application's performance in production environments
Relari: Testing and Simulation Stack for GenAI Systems FAQs
Relari is an open-source platform that helps AI teams simulate, test, and validate complex Generative AI (GenAI) applications throughout the development lifecycle. It provides a testing and simulation stack to harden LLM-based applications.
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