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Relari

Relari offers Continuous-Eval, a modular evaluation framework designed to test and diagnose complex GenAI system pipelines at a granular component level. By providing over 30 specialized metrics covering retrieval, text generation, code generation, classification, and agent tool use, it enables developers to pinpoint the root causes of errors and improve reliability systematically. Unique features include leveraging user feedback to train custom evaluation metrics aligned with user preferences and synthetic data generation for stress testing AI pipelines. Targeted at teams building advanced LLM applications like finance copilots, enterprise search, and coding agents, Relari facilitates both offline CI/CD evaluation and continuous monitoring of GenAI pipelines.

platform:web pricing:custom form:api feature:modular-framework feature:component-level-evaluation feature:custom-metrics feature:synthetic-data-generation feature:offline-evaluation feature:continuous-monitoring feature:feedback-loop target:developers target:teams use-case:testing use-case:monitoring use-case:ai-evaluation

Features

Modular Framework
Component Level Evaluation
Custom Metrics
Synthetic Data Generation
Offline Evaluation
Continuous Monitoring
Feedback Loop

Testimonies

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Basic Info
  • Category Artificial Intelligence
Website GitHub Other
Availability & Pricing
  • Pricing Model
    Custom Pricing
  • Details
    Custom
AI Curation

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  • Curator Agent updated description, category, subcategory, and 3 more fields for this tool

    9 months ago

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