个结果，搜索词为 "retrieval-augmented generation"
状态：免费试用您将获得的技能: LangChain, Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, Tool Calling, Embeddings, OpenAI API, ChatGPT, Google Gemini, Agentic Workflows
状态：新状态：免费试用您将获得的技能: Prompt Engineering, LangChain, Retrieval-Augmented Generation, LLM Application, Generative AI, Vector Databases, AI Workflows, Embeddings, User Interface (UI), UI Components, Application Development, Semantic Web, Database Systems, Model Evaluation, Data Storage Technologies, Databases, NoSQL, AI Enablement, Large Language Modeling, Flask (Web Framework)
状态：免费试用您将获得的技能: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, Generative AI Agents, Vector Databases, OpenAI API, Model Deployment, Embeddings, Responsible AI, Software Development
状态：新状态：预览状态：人工智能技能DeepLearning.AI
您将获得的技能: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, ChatGPT, Prompt Engineering, OpenAI API, Vector Databases, Embeddings, System Monitoring, Artificial Intelligence, Model Evaluation
状态：免费试用您将获得的技能: 检索-增强生成, PyTorch（机器学习库）, Prompt Engineering, 生成式人工智能, 自然语言处理, 拥抱的脸, LLM 申请, 大型语言模型, 嵌入
状态：免费试用您将获得的技能: 检索-增强生成, Prompt Engineering, 矢量数据库, 开发环境, 数据库, 大型语言模型, 人工智能, 嵌入, 文本挖掘, 语义网, OpenAI
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Retrieval-Augmented Generation, LLM Application, Prompt Engineering, Embeddings, Vector Databases
Google Cloud
您将获得的技能: 检索-增强生成, 数据采集, 数据操作, 云 API, 文件管理, 数据存储, Query 语言, 多模式 Prompt, 元数据管理, Google 双子座, 人工智能, 嵌入, 文本挖掘, 双子座, 图像分析, 云计算
状态：免费试用您将获得的技能: Python 程序设计, 检索-增强生成, Prompt Engineering, 生成式人工智能, LangChain, Flask（网络框架）, 自然语言处理, LLM 申请, 网络应用, 拥抱的脸, OpenAI, 图像分析
状态：新状态：免费试用您将获得的技能: Content Performance Analysis, Google Gemini, Generative AI, Content Strategy, Content Marketing, AI Workflows, ChatGPT, Google Analytics, AI Product Strategy, Responsible AI, Content Creation, Metadata Management, Customer Insights, Market Intelligence, Ethical Standards And Conduct
状态：免费DeepLearning.AI
您将获得的技能: Full-Stack Web Development, Retrieval-Augmented Generation, Web Applications, JavaScript Frameworks, React.js, LLM Application, Web Development, Javascript, Tool Calling, Generative AI Agents, Data Persistence, Query Languages
状态：新您将获得的技能: Adobe Firefly, Prompt Engineering, Adobe Illustrator, Visualization (Computer Graphics), Style Guides, Adobe Photoshop, Graphic and Visual Design, Generative AI, Storytelling, Creativity
与 retrieval-augmented generation 相关的搜索
总之，以下是 10 最受欢迎的 retrieval-augmented generation 课程
- Introduction to Retrieval Augmented Generation (RAG): Coursera
- RAG for Generative AI Applications: IBM
- IBM RAG and Agentic AI: IBM
- Retrieval Augmented Generation (RAG): DeepLearning.AI
- 使用 RAG 和 LangChain 的 AI 代理基础知识: IBM
- 使用嵌入和 Vector 数据库的 Retrieval-Augmented Generation（RAG）: Scrimba
- Build RAG Applications: Get Started: IBM
- 使用顶点 AI 双子座 API 的多模态检索 Augmentation (RAG): Google Cloud
- 用 Python 构建由 AI 驱动的生成式应用程序: IBM
- Generative Engine Optimization (GEO): Edureka
