Gentrace
GenAI evaluation & observability
Best For
About Gentrace
What this tool does and how it can help you
Evaluation and observability platform designed for generative AI applications, helping teams monitor performance.
Prompts for Gentrace
Challenges using Gentrace
Key Capabilities
What you can accomplish with Gentrace
LLM Evaluation Platform
Comprehensive evaluation tools supporting LLM, code, and human evaluation capabilities. Manage datasets and run tests in seconds from code or UI, with support for LLM-as-a-judge evaluations to grade AI system outputs.
Collaborative Experimentation
First collaborative testing environment for LLM products, allowing teams to run test jobs from the UI overriding any parameter (prompt, model, top-k, reranking) across any environment (local, staging, or production). Makes evals a team sport by enabling PMs, designers, and QA to participate.
Real-time Monitoring & Debugging
Monitor and debug LLM apps in real-time, isolate and resolve failures for RAG pipelines and agents. Watch as evaluation results from LLMs, heuristics, or humans stream in with live updates.
Analytics Dashboards
Convert evaluations into dashboards for comparing experiments and tracking progress. Features aggregate views showing statistical differences between versions and drilldown views presenting clear pictures of outputs including JSON representation, evaluations, and timelines.
Tool Details
Technical specifications and requirements
License
Paid
Pricing
Subscription
Feature Highlights
Detailed features and capabilities
LLM Evaluation Platform
Comprehensive evaluation tools supporting LLM, code, and human evaluation capabilities. Manage datasets and run tests in seconds from code or UI, with support for LLM-as-a-judge evaluations to grade AI system outputs.
Collaborative Experimentation
First collaborative testing environment for LLM products, allowing teams to run test jobs from the UI overriding any parameter (prompt, model, top-k, reranking) across any environment (local, staging, or production). Makes evals a team sport by enabling PMs, designers, and QA to participate.
Real-time Monitoring & Debugging
Monitor and debug LLM apps in real-time, isolate and resolve failures for RAG pipelines and agents. Watch as evaluation results from LLMs, heuristics, or humans stream in with live updates.
Analytics Dashboards
Convert evaluations into dashboards for comparing experiments and tracking progress. Features aggregate views showing statistical differences between versions and drilldown views presenting clear pictures of outputs including JSON representation, evaluations, and timelines.
Hallucination Testing
Specialized testing capabilities for AI hallucinations with automated comparison methods. Create safety evaluators using LLM-as-a-judge to score whether outputs comply with AI safety policies.
CI/CD Integration
Seamlessly integrate with continuous integration and deployment pipelines. Support for unit testing frameworks and patterns, making it incrementally adoptable into existing testing stacks.
Multi-Environment Testing
Reuse evaluations across environments with the same architecture for local, staging, and production. Testing UI connects directly to actual staging and production environments for realistic testing.
Enterprise Security & Compliance
Self-hosting options with SOC 2 Type II & ISO 27001 compliance. Features role-based access control, autoscaling on Kubernetes, SSO, and SCIM provisioning for enterprise deployments.
RAG Pipeline Testing
Specialized testing and debugging capabilities for Retrieval-Augmented Generation (RAG) pipelines. Helps tune retrieval systems and test across different retrieval configurations.
Multimodal Output Support
Support for testing and evaluating multimodal AI outputs beyond just text. Annotate and debug various types of AI-generated content with appropriate evaluation methods.