Free lessonsEvaluating AI applications with LangSmith
Evaluating AI applications with LangSmith
9 lessons
Lesson 6 · 7 min
RAG evaluation methods
Experiment：Break RAG answer quality into evaluable questions.
Open this lesson on Bilibili大云哥讲AIBilibili seriesThe lesson is in Chinese and plays from Bilibili.
Not translated yet — showing the Chinese originals.
About the series
A nine-part path through AI application evaluation: metrics, datasets, evaluators, Agent and RAG evaluation, and a practical LangSmith workflow.
- Who it is for
- Testers and engineers building AI applications, Agents, or RAG systems who need repeatable evaluations.
- What you can do afterwards
- Build an evaluation set, choose metrics and evaluators, and run a repeatable evaluation for an LLM, Agent, or RAG application with LangSmith.
Training a whole team? It is arranged by scope. Book an evaluation