Elevate Your LLM Performance with an Advanced Evaluation Suite
Drive better results with comprehensive, private, and flexible AI assessments that measure relevance, correctness, and compliance for Generative AI at scale.
Measure model performance on your datasets with Retrieval-Augmented Generation metrics like semantic similarity, MRR, and hit rate. Test multi-modal RAG pipelines for diverse foundation models, ensuring top-tier relevance and precision in Generative AI applications.
Prevent model drift by assessing faithfulness, correctness, and guideline adherence using an LLM as a judge. Leverage pairwise evaluators to compare multiple ingestion configurations, quickly pinpointing the best match for your unique enterprise use cases.
Generate synthetic Q&A pairs from ingested data with industry-leading models. Easily configure these generations at dataset, document, or embedding levels. Compare performance across candidate LLMs, speeding up evaluations while ensuring robust, scenario-specific coverage.
Inspect every evaluation result and metric through an easy-to-use interface. Compare multiple runs, view aggregate metrics, and download JSON summaries for deeper analysis. Track evolving experiments over time with comprehensive observability for all past evaluations.
Evaluation Pipelines
Leverage ready-to-use or custom pipelines. Choose specific models for each evaluator step, simplifying complex testing workflows.
Optimized Performance
Process large-scale evaluations faster with native parallelization, ensuring timely insights and minimal delay for mission-critical AI tasks.
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Benchmarking
Extend the suite to measure model quality on popular benchmarks like BEIR or MT Bench, gauging competitive performance.
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Fully Private Evaluations
Keep data on-prem or within your private cloud, ensuring zero exposure to external endpoints during the entire evaluation process.
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Custom Scoring & Weighted Metrics
Configure unique metrics or adjust scoring weights for domain-specific criteria, tailoring evaluations to your enterprise’s exact needs.
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Granular Role Management
Enforce fine-grained permissions for running or accessing certain evaluators, safeguarding sensitive data and results.
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