LangChain Evaluation

LangChain Evaluation is a quantitative way to measure performance of LLM applications through an integrated evaluation and tracing framework that allows you to check for regressions, compare systems, and easily identify and fix any sources of errors and performance issues. Evaluation refers to a process of assessing the performance of Large Language Models (LLMs) by examining the inputs and outputs of a model, agent, or chain, measuring performance according to metrics that can be fuzzy or subjective, and are more useful in relative terms than absolute ones. The framework enables developers to use an LLM and prompt to evaluate the response of your application – testing against any custom rubric and build up a labeled dataset of inputs and gold standard outputs in LangSmith, and then evaluate the similarity of your application’s response compared to the reference output.