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auto-evaluator
Tool for evaluating question-answering systems using LLMs.
FrameworkOpen SourceGrowing
What is auto-evaluator?
auto-evaluator is tool for evaluating question-answering systems using LLMs.
About
Auto-evaluator is designed to enhance the quality of question-answering (QA) systems by systematically evaluating their performance. It auto-generates QA test sets and grades the results of specified QA chains, making it useful for developers working with LLMs in document retrieval and QA tasks. Key capabilities include customizable test set generation, model-graded evaluation, and detailed experiment logging.
Strengths
- Automates the evaluation process for QA systems.
- Supports customizable configurations for experiments.
- Provides detailed results and insights into answer quality.
Limitations
- Requires familiarity with LLMs and QA systems.
- May need additional prompts for specific evaluation styles.
- Performance may vary based on chunk size and retrieval methods.
Use Cases
Evaluate the performance of different QA chains on document sets.Auto-generate question-answer pairs for testing QA systems.Analyze the impact of chunk size and retrieval methods on answer quality.
Integrations
LangChainOpenAIFAISSSVMTF-IDF