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Experiments
Integrations

Beyond Prompts: Why You Need to A/B Test Your Entire RAG Pipeline

Discover why isolated prompt engineering is not enough. This post details how to systematically A/B test your entire Retrieval-Augmented Generation pipeline—from embedding models to chunking strategies—to achieve optimal performance.

Experiments
3 min read

The Ultimate Guide to Evaluating LLM Performance: Metrics That Matter

Move beyond accuracy and explore the critical metrics for robust LLM evaluation, including latency, cost per query, relevance, and custom business KPIs. Learn to set up experiments that deliver actionable insights.

Experiments
3 min read

How to Automate AI Quality Assurance with Experiments.do and CI/CD

Integrate AI experimentation directly into your CI/CD workflow. Learn how to automate the validation of new prompts, models, and RAG configurations to ship updates with confidence and prevent performance regressions.

Integrations
3 min read

From GPT-4 to Llama 3: A Playbook for Safely Switching Production LLMs

Switching foundation models in production is a high-stakes decision. Follow our step-by-step playbook for using controlled experiments to compare LLMs on your specific use cases, ensuring a seamless and successful migration.

Workflows
3 min read

Choosing Your Champion: A Framework for A/B Testing AI Agents

AI agents are complex systems. This post provides a clear framework for designing, running, and analyzing experiments to compare different agent behaviors, tool usage, and final outcomes to deploy the most effective version.

Agents
3 min read

The Cost of Uncertainty: Calculating the ROI of AI Experimentation

Underperforming AI can silently erode profits. We break down how to calculate the true ROI of a dedicated experimentation platform by quantifying cost savings, user satisfaction gains, and the reduction of deployment risks.

Business
3 min read

Case Study: How We Cut RAG Latency by 40% with Systematic Testing

A deep-dive walkthrough of how targeted A/B tests on a RAG pipeline identified major bottlenecks. See the data and the changes that led to a 40% reduction in response time and a significant drop in operational costs.

Business
3 min read

How to Structure Your Evaluation Data for Bulletproof RAG Testing

The success of your AI experiments hinges on your evaluation data. This guide provides best practices for creating and curating high-quality datasets to test your RAG pipelines for relevance, faithfulness, and answer quality.

Data
3 min read

Building Resilient AI Services: Using Experiments to Prevent Regressions

Learn how to apply the principles of regression testing to your AI services. Set up automated experiments that act as a safety net, ensuring that every new update enhances, rather than degrades, your AI's performance.

Services
3 min read

Validating Agentic Workflows: A New Frontier in AI Testing

Agentic workflows involving planning, tool use, and complex reasoning require a new testing paradigm. Explore strategies and tools for validating these multi-step processes to ensure they are reliable and effective.

Agents
3 min read