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所在平台: Udemy |
课程主页: https://www.udemy.com/course/rag-agents-build-apps-gpts-with-apismcp-langchain-n8n/
课程评论：没有评论
课程名称：《RAG代理：使用API/MCP、LangChain和n8n构建应用程序和GPT》 课程概述： 在人工智能领域，RAG（检索增强生成）是一个至关重要的概念。本课程旨在教你如何构建强大的RAG聊天机器人和智能AI代理，以优化商业流程和个人项目。课程内容涵盖了ChatGPT、Claude、Google Gemini、开源LLMs、Flowise、n8n等工具，提供清晰、全面的讲解。 课程内容包括： 1. **基础知识**：深入学习大型语言模型（LLMs）、RAG和向量数据库，掌握API通信和函数调用的工作原理，了解如何使用OpenAI Playground及其接口。 2. **简单的RAG实现**：创建第一个从PDF生成的RAG机器人，将HTML页面和YouTube视频转化为互动RAG聊天机器人，训练ChatGPT以匹配个人写作风格等。 3. **开源LLMs的RAG应用**：学习如何安装和使用Ollama，构建本地RAG聊天机器人，优化语言控制和行为设置。 4. **Flowise与LangChain**：掌握OpenAI API，构建高效的RAG应用，创建全面的RAG聊天流，处理HTML拆分和向量数据库的技术细节。 5. **n8n：AI自动化及RAG代理的构建**：利用n8n作为自动化平台，开发基于向量数据库和附加工具的RAG聊天机器人。 6. **AI项目上市与盈利**：学习如何在类似Render的平台上托管应用，将其嵌入网站中，设计品牌化的专业聊天机器人。 7. **高级工作流程与专门技术**：掌握webhooks、MCP、集成Claude和n8n等先进技术，探索Cache-Augmented Generation等创新RAG策略。 8. **安全、隐私和法律基础**：识别安全风险，确保AI项目的安全与合规，深入了解GDPR和即将出台的欧盟AI法案。 通过本课程，你将全面掌握构建、优化和成功营销RAG聊天机器人、AI代理及自动化的技能，成为AI自动化和RAG领域的专家。
One of the most important concepts in the AI world is RAG - Retrieval-Augmented Generation!You need to give LLMs knowledge!But how do you build powerful RAG chatbots and intelligent AI agents to optimize your business processes and personal projects?In this course, you'll learn exactly that-comprehensively and clearly explained-using ChatGPT, Claude, Google Gemini, open‑source LLMs, Flowise, n8n, and more!Fundamentals: LLMs, RAG & Vector DatabasesBuild a solid foundation for your AI projects:Deepen your knowledge of LLMs: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral, and many more.Understand how Function Calling and API communication work in LLMs.Learn why vector databases and embedding models are the heart of RAG.Master the ChatGPT interface, GPT models, settings, and the OpenAI Playground.Explore key concepts like Test‑Time Compute (e.g. OpenAI o1, o3; Deepseek R1).Discover how Google's NotebookLM works and leverage it effectively for RAG projects.Simple RAG Implementations with ChatGPT & Custom GPTsGet your first AI applications up and running quickly and easily:Create your very first RAG bot from PDFs using Custom GPTs.Turn HTML web pages and YouTube videos into interactive RAG chatbots.Train ChatGPT on your personal writing style via RAG.Use CSV data to build smart chatbots and explore the full potential of Custom GPTs.RAG with Open‑Source LLMs: AnythingLLM & OllamaDive into the world of local AI:Install and use Ollama: learn about models, commands, and hardware requirements.Integrate AnythingLLM effectively with Ollama-optimize chunking and embeddings.Build local RAG chatbots and precisely control language and behavior with system prompts and temperature settings.Leverage agent capabilities like web search, scraping, and more.Flowise: RAG with LangChain & LangGraph Made EasyHarness the power of the OpenAI API for professional applications:Master the OpenAI API, pricing models, GDPR compliance, and project setup.Build efficient RAG applications via the OpenAI Playground and response APIs.Install Flowise, manage updates, and become proficient with its interface-including the Marketplace and OpenAI Assistant.Create comprehensive RAG chatflows with web scraping, embeddings, HTML splitters, and vector databases.Develop your own chatbot UI and handle Flowise's technical details.Implement local AI security with Ollama & LangChain and use Flowise's tool‑agent nodes (e.g. email, calendar, Airtable).Combine Pinecone vector databases with Supabase and Postgres.Master prompt engineering and sequential agents with human‑in‑the‑loop workflows.n8n: Building AI Automations & RAG AgentsUse n8n as a powerful automation platform for your AI projects:Learn local installation, updates, and n8n basics.Automate Pinecone database updates via Google Drive.Develop RAG chatbots with AI‑agent nodes, vector databases, and supplementary tools.Create automated chatbots from websites using HTML requests and scraping.Hosting, Selling & Monetizing Your RAG AgentsTake your AI projects to market professionally:Host Flowise and n8n apps on platforms like Render and embed them in websites (HTML, WordPress).Design branded, professional chatbots and offer them as services or standalone products.Develop effective marketing and sales strategies for your AI agents.Advanced Workflows & Specialized RAG TechniquesAdopt professional, cutting‑edge technologies:Learn advanced techniques like webhooks, MCPs with Claude, GPT Actions, and n8n integration.Understand the Model Context Protocol (MCP) and build both MCP servers and clients in n8n and Claude Desktop.Explore innovative RAG strategies such as Cache‑Augmented Generation (CAG), GraphRAG (Microsoft), LightRAG, and Anthropic's Contextual Retrieval.Optimize chunking, embedding, and Top‑K retrieval for your RAG apps.Choose the right strategy for your projects and maximize your RAG outcomes.Security, Privacy & Legal FoundationsProtect your AI projects effectively:Recognize security risks (Telegram exploits, jailbreaks, prompt injections, data poisoning).Secure your AI against attacks and respect copyrights in generated content.Deepen your understanding of GDPR and the upcoming EU AI Act to ensure legal compliance.Become an expert in AI automations, AI agents & RAG!By the end of this course, you will be fully equipped to build, optimize, and successfully market RAG chatbots, AI agents, and automations.
