# LangChain Basic

### Contents

1. [**Basic Modules**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-basic/basic-modules)
2. [**Model I/O**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-basic/model-i-o)
3. [**Prompts**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-basic/prompts)
4. [**Chains**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-basic/chains)
5. [**Agents**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-basic/agents)
6. [**Tools**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-basic/tools)
7. [**Memory**](https://beat-by-wire.gitbook.io/beat-by-wire/llms/langchain/langchain-basic/memory)

***

### References:

* LangChain 공식 문서: <https://python.langchain.com>
* Toward Data Science: <https://towardsdatascience.com>
* GPT-4, ChatGPT, 라마인덱스, 랭체인을 활용한 인공지능 프로그래밍: <https://wikibook.co.kr/openai-llm/>
* 테디 노트: <https://teddylee777.github.io>
* Youtube 모두의 AI: <https://www.youtube.com/@AI-km1yn>
