OpenEvals4J
What it is
A Java library for evaluating RAG systems and AI agents using LLM-as-a-Judge. It builds on LangChain4j to provide metrics like faithfulness, contextual precision, and rubrics-based scoring.
The problem it solves
Lack of a flexible, Java-native library for LLM-based evaluation of RAG systems and agents.
What you could use it for
- Evaluating the quality of Retrieval-Augmented Generation (RAG) pipelines
- Assessing the performance of conversational AI agents
- Measuring response faithfulness and completeness in LLM applications
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.