LangChain 2026 Day 9: Evaluating RAG with LLM-as-a-Judge
Автор: Sebastian Buzdugan
Загружено: 2025-11-30
Просмотров: 90
Описание:
Welcome to Day 9 of my LangChain 2026 Course!
Building an AI is easy. Knowing if it works is hard. Today, we build a robust Evaluation Framework for our agent. We implement the "LLM-as-a-Judge" pattern to automatically score our RAG responses against a Golden Dataset.
We will write a scoring engine that rates accuracy, clarity, and faithfulness on a scale of 1-5.
In this episode you’ll learn:
How to benchmark RAG applications
Creating a "Golden Dataset" (Ground Truth)
Implementing the LLM-as-a-Judge pattern
Calculating accuracy scores automatically
Moving from "Vibe Checks" to Data-Driven Dev
📌 GitHub Code: https://github.com/sebuzdugan/langcha...
📚 Full Playlist: • LangChain 2026
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