techvitIn DevelopmentResearch & implementation
LLM Evaluation Toolkit
Research and implementation for continuously evaluating the quality of LLM applications.
LLMEvaluationRAG
A toolkit for continuously evaluating applications built with large language models.
Areas covered
- Golden dataset design and construction
- Automated evaluation with LLM-as-a-Judge
- RAG evaluation for retrieval and answer quality
- Hallucination detection
- Regression testing for quality degradation
- Agent evaluation
As LLM applications become more common, maintaining quality after launch becomes increasingly important. This toolkit explores the practices and infrastructure needed to make that quality measurable.