🚀 Open-source RAG evaluation and testing with Evidently. New release

AI agent testing

Test, debug, and optimize your AI agents for reliable, efficient, and safe operations.

test workflows

From prompt to final action

Ensure your AI understands, reasons, and responds as expected.

If your product involves multi-turn conversations, workflows, tool calls, or external retrieval, we test the entire session, not just single turns.

Evidently AI Testing for LLM

tests

Simulated interactions

Use synthetic data to mimic real-world scenarios.

Comprehensive coverage. Model user sessions, edge cases, and adversarial situations.

Automate test generation. Use built-in tools to quickly generate diverse, dynamic test cases.

No-code collaboration. Refine and validate test cases with domain experts.

Evidently AI Evaluation for LLM-based systems

evals

Evaluate workflows

Analyze entire task sequences with configurable session-level LLM judges.

Task completion. Does the AI successfully achieve its goals?

Decision accuracy. Are tool calls and choices correct and context-aware?

User experience. Is the interaction smooth and effective?

Evidently AI Testing for LLM

platform

Full-cycle testing

Run, test, and optimize AI performance.

Interactive debugging. Find failures and spot patterns.

Regression testing. Prevent updates from breaking functionality.

Performance tracking. Track results and refine workflows and prompts.

Start testing your AI systems today

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