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curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

更新：2026/10/12 05:34:05首次收录：2026/10/12 05:34:05原始来源
language
Jupyter Notebook
stars
1257
forks
373
license
Apache-2.0
homepage
https://mlexpert.io
source_updated_at
2026-10-10T01:53:43Z

详细说明：

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

描述来源标记：原始/编辑整理

如何使用：

在 GitHub 打开仓库 curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain，按 README 安装与使用。Stars：1257。

同类对比：

词条关系简介选择理由
curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain当前—基准对照
LangChain相关The agent engineering platform.与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用
LlamaIndex相关LlamaIndex is the document processing platform for AI与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用
MCP 官方示例服务器集合相关Model Context Protocol 官方维护的参考 MCP Server 集合。与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用
ComfyUI相关AI 相关工具/产品：ComfyUI。与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用
AutoGen相关AI 相关工具/产品：AutoGen。与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用
NousResearch/hermes-agent相关The agent that grows with you与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用
firecrawl/firecrawl相关Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用
huggingface/transformers相关🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 与「curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain」相关，可按场景对照选用

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