# LangChain Advanced

### Contents

1. [**LLM Evaluation**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/llm-evaluation)
2. [**RAG Evaluation with RAGAS**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/rag-evaluation-with-ragas)
3. [**LangChain with RAGAS**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/langchain-with-ragas)
4. [**RAG Paradigms**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/rag-paradigms)
5. [**LangChain: Advance Techniques**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/langchain-advance-techniques)
6. [**LangChain with NeMo-Guardrails**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/langchain-with-nemo-guardrails)
7. [**LangChain vs. LlamaIndex**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/langchain-vs.-llamaindex)
8. [**LangChain LCEL vs. LangGraph**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-advanced/langchain-lcel-vs.-langgraph)

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### References:

* LangChain 공식 문서: <https://python.langchain.com>
* LlamaIndex 공식 문서: <https://docs.llamaindex.ai/en/stable/>
* Toward Data Science: <https://towardsdatascience.com>
* RAGAS 공식 문서: <https://docs.ragas.io/en/stable/>
* CodingCrashCourses Youtube: <https://www.youtube.com/@codingcrashcourses8533>
