---
title: "Evaluate LLMs and RAG a practical example using Langchain and Hugging Face"
url: https://daily.dev/posts/evaluate-llms-and-rag-a-practical-example-using-langchain-and-hugging-face-qhnom7rxm
source_url: https://www.philschmid.de/evaluate-llm
type: article
source: "Philipp Schmid"
published: 2026-05-31T07:41:27.649Z
updated: 2026-05-31T07:59:52.207Z
tags: ["llm", "rag", "langchain"]
reading_time: 7
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Evaluate LLMs and RAG a practical example using Langchain and Hugging Face

**[Philipp Schmid](https://daily.dev/sources/philschmid)** · 7 min read · 0 upvotes · 0 comments

## Summary

A hands-on guide to evaluating LLMs and RAG pipelines using Langchain and Hugging Face. Covers three main evaluation approaches: criteria-based evaluation (conciseness, correctness, custom criteria), RAG evaluation using Langchain's ContextQAEvalChain, and pairwise comparison/scoring. Uses Llama-2-70B as the model under evaluation and GPT-4 as the judge, demonstrating the LLM-as-a-judge paradigm. Includes code examples for each method and discusses trade-offs between human evaluation and automated LLM-based evaluation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.philschmid.de/evaluate-llm>

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Tags: [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#langchain](https://daily.dev/tags/langchain)

[View this post on daily.dev](https://daily.dev/posts/evaluate-llms-and-rag-a-practical-example-using-langchain-and-hugging-face-qhnom7rxm)
