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https://github.com/xiaomingx/awesome-llm-app

这是一个汇集了众多优秀大型语言模型应用的合集,这些应用采用了检索增强生成(RAG)技术,并使用了 OpenAI、Anthropic、Gemini 以及开源模型。Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
https://github.com/xiaomingx/awesome-llm-app

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这是一个汇集了众多优秀大型语言模型应用的合集,这些应用采用了检索增强生成(RAG)技术,并使用了 OpenAI、Anthropic、Gemini 以及开源模型。Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

Awesome Lists containing this project

README

        

# 🌟 Awesome LLM Apps

# 🌟 精选大型语言模型应用

这是一个精选的优秀大型语言模型(LLM)应用集合,基于RAG和AI代理构建。本仓库汇集了使用OpenAI、Anthropic、Google等模型的LLM应用,甚至包括像LLaMA这样的开源模型,您可以在本地计算机上运行。

## 🤔 为什么选择精选大型语言模型应用?

- 💡 探索大型语言模型在不同领域中的实用和创新应用,从代码仓库到电子邮件收件箱等。
- 🔥 了解结合了OpenAI、Anthropic、Gemini等LLM以及开源替代方案的RAG和AI代理应用。
- 🎓 学习文档详尽的项目,并为不断增长的基于LLM的开源生态系统贡献力量。

## 📂 特色AI项目

### AI代理
- [💼 AI 客服代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_customer_support_agent)
- [📈 AI 投资代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_investment_agent)
- [👨‍⚖️ AI 法律代理团队](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_legal_agent_team)
- [👨‍💼 AI 服务机构](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_services_agency)
- [🏋️‍♂️ AI 健康与健身规划代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_health_fitness_agent)
- [📈 AI 初创趋势分析代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_startup_trend_analysis_agent)
- [🗞️ AI 记者代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_journalist_agent)
- [💲 AI 财务代理团队](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_finance_agent_team)
- [💰 AI 个人财务代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_personal_finance_agent)
- [🛫 AI 旅行代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_travel_agent)
- [🎬 AI 电影制作代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_movie_production_agent)
- [📰 多代理AI研究员](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/multi_agent_researcher)
- [📑 AI 会议代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_meeting_agent)
- [🌐 本地新闻代理 OpenAI 群集](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/local_news_agent_openai_swarm)
- [📊 AI 财务代理与 xAI Grok](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/xai_finance_agent)
- [🧠 AI 推理代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_reasoning_agent)
- [🧬 多模态AI代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/multimodal_ai_agent)

### RAG(检索增强生成)
- [🔍 自主RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/autonomous_rag)
- [🔗 代理RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/agentic_rag)
- [🔄 Llama3.1 本地RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/llama3.1_local_rag)
- [🧩 RAG即服务](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/rag-as-a-service)
- [🦙 本地RAG代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/local_rag_agent)
- [👀 混合搜索RAG应用](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/hybrid_search_rag)
- [🖥️ 本地混合搜索RAG应用](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/local_hybrid_search_rag)

### 具有记忆功能的LLM应用
- [💾 具有记忆功能的AI Arxiv代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory)
- [📝 具有个性化记忆的LLM应用](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/llm_app_personalized_memory)
- [🛩️ 具有记忆功能的AI旅行代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/ai_travel_agent_memory)
- [🗄️ 具有记忆功能的本地ChatGPT](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/local_chatgpt_with_memory)

### 与X聊天
- [💬 与GitHub仓库聊天](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_github)
- [📨 与Gmail聊天](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_gmail)
- [📄 与PDF聊天](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_pdf)
- [📚 与研究论文聊天](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_research_papers)
- [📝 与Substack通讯录聊天](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_substack)
- [📽️ 与YouTube视频聊天](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_youtube_videos)

### LLM微调
- [🌐 Llama3.2 微调](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_finetuning_tutorials/llama3.2_finetuning)

### 高级工具与框架
- [🧪 Gemini多模态聊天机器人](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/gemini_multimodal_chatbot)
- [🔄 代理混合](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/mixture_of_agents)
- [🌐 MultiLLM聊天游乐场](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/multillm_chat_playground)
- [🔗 LLM路由器应用](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/llm_router_app)
- [💬 本地ChatGPT克隆](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/local_chatgpt_clone)
- [🌍 网页抓取AI代理](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/web_scrapping_ai_agent)
- [🔍 网页搜索AI助手](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/web_search_ai_assistant)
- [🧪 Cursor AI实验](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/cursor_ai_experiments)

## 🚀 快速开始

1. **克隆仓库**

```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
```

2. **进入目标项目目录**

```bash
cd awesome-llm-apps/chat_with_gmail
```

3. **安装所需依赖**

```bash
pip install -r requirements.txt
```

4. **按照各项目的 `README.md` 文件中的具体说明进行设置和运行应用。**