evals4j
What it is
evals4j is a Java library for evaluating LLM applications, providing a Java port of LangChain's OpenEvals. It offers LLM-as-judge, RAG, agent-trajectory, and structured-output evaluators that integrate with Spring AI and LangChain4j.
The problem it solves
Lack of a native, standardized evaluation framework for LLM applications built in Java, particularly for Spring AI and LangChain4j ecosystems.
What you could use it for
- Evaluating the correctness and conciseness of LLM responses in Java applications
- Assessing RAG pipeline quality using groundedness and helpfulness metrics
- Analyzing agent trajectories to verify tool selection and path accuracy
- Automating LLM evaluation in Spring Boot or LangChain4j projects
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.