
TruLens
Open-source solution for evaluating and tracing AI Agents and RAG applications using feedback functions to programmatically evaluate components of execution flow. Features the RAG Triad metrics for comprehensive evaluation.
About this tool
Overview
TruLens is an open-source platform for evaluating and monitoring LLM applications, with specialized capabilities for RAG systems. It pioneered the "RAG Triad" evaluation framework that's become an industry standard.
Features
- RAG Triad Metrics: Groundedness, answer relevance, and contextual relevance
- Feedback Functions: Programmatic evaluation of application components
- Trace Visualization: Detailed execution flow tracking
- LLM-as-Judge: Use LLMs to evaluate other LLM outputs
- Component-Level Evaluation: Assess individual parts of RAG pipelines
- Real-Time Monitoring: Track application performance in production
- Custom Metrics: Define your own evaluation criteria
- Integration: Works with major LLM frameworks
RAG Triad
- Groundedness: Whether the answer is factually consistent with the retrieved context
- Answer Relevance: How relevant the generated answer is to the query
- Context Relevance: How relevant the retrieved context is to the query
Use Cases
- Evaluating RAG system accuracy
- Debugging hallucination issues
- Monitoring production AI applications
- A/B testing different prompts or models
- Ensuring response quality
Integration
Supports LangChain, LlamaIndex, and custom applications. MLflow's third-party scorer framework includes TruLens alongside RAGAS and Phoenix.
Pricing
Open-source and free to use.
Surveys
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Information
Websitewww.trulens.org
PublishedMar 11, 2026
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