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LLMOps Eval

Production-grade LLM & RAG evaluation platform.
No-code. Multi-provider. CI/CD ready.

Java 21Spring BootFastAPINext.js 14PostgreSQLApache 2.0

Simple 6-step workflow

From dataset to evaluation results in minutes

1
Define Project
2
Upload Dataset
3
Configure Endpoint
4
Select Metrics
5
Run Evaluation
6
View Results

Everything you need to evaluate LLMs

Stop building custom evaluation frameworks. Start evaluating.

🎯

No-Code Evaluation

Configure and run LLM evaluations entirely through the UI. No custom code or ML expertise required.

📊

20+ Built-in Metrics

BLEU, ROUGE, BERTScore, Faithfulness, Context Relevance, LLM-as-Judge and more — all out of the box.

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Multi-Provider Support

Connect to OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Google Vertex AI, or any custom API.

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RAG Evaluation

Purpose-built metrics for RAG systems: Faithfulness, Answer Relevancy, Context Precision and Recall.

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CI/CD Integration

Trigger evaluations via API, set quality gates, and integrate with GitHub Actions or GitLab CI.

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Multi-Tenant

Organizations, teams, projects, and role-based access control — built for enterprise use.

See it in action

A clean, intuitive UI — no code required

Dashboard
Dashboard
Projects
Projects
Datasets
Datasets
Test Cases
Test Cases
Teams
Teams
Settings
Settings

Comprehensive metric coverage

20+ metrics across four categories

📝

Traditional NLP

BLEU, ROUGE, Exact Match, Levenshtein, BERTScore

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RAG-Specific

Faithfulness, Answer Relevancy, Context Precision, Context Recall

⚖️

LLM-as-Judge

Relevance, Coherence, Fluency, Toxicity, Custom criteria

Performance

Latency, Token Count, Cost per evaluation

Ready to evaluate your LLMs?

Open source. Free forever. Apache 2.0 license.