LangChain - Evaluation and TestingHow can you extend Langchain's automated evaluation pipeline to handle custom evaluation logic for a new task?ACreate a new evaluator class implementing the evaluation interface and pass it to the pipelineBModify the EvaluationPipeline source code directlyCUse a different pipeline class that supports custom logic automaticallyDAdd custom logic inside the inputs list before passing to pipelineCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand extensibility via evaluatorsLangchain allows custom evaluation by implementing evaluator classes.Step 2: Pass custom evaluator to pipelinePipeline uses the evaluator interface to run custom logic without modifying core code.Final Answer:Create a new evaluator class implementing the evaluation interface and pass it to the pipeline -> Option AQuick Check:Custom evaluators extend pipeline functionality [OK]Quick Trick: Implement custom evaluator class and pass to pipeline [OK]Common Mistakes:MISTAKESEditing core pipeline code directlyAssuming inputs can hold logicUsing wrong pipeline class
Master "Evaluation and Testing" in LangChain9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallPerf
More LangChain Quizzes Evaluation and Testing - Creating evaluation datasets - Quiz 7medium LangChain Agents - Structured chat agent - Quiz 5medium LangChain Agents - Why agents add autonomy to LLM apps - Quiz 4medium LangGraph for Stateful Agents - State schema definition - Quiz 9hard LangGraph for Stateful Agents - Multi-agent graphs - Quiz 6medium LangSmith Observability - Debugging failed chains - Quiz 11easy LangSmith Observability - Comparing prompt versions - Quiz 12easy LangSmith Observability - Setting up LangSmith tracing - Quiz 7medium Production Deployment - LangServe for API deployment - Quiz 1easy Production Deployment - Why deployment needs careful planning - Quiz 5medium