AI 开发 教程
系统化的 AI 开发学习路径。从提示词工程到模型微调，从 RAG 到 Agent 开发，覆盖 AI 应用开发全栈知识。共 142 篇教程，18 个分类，入门到高级全覆盖。
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Getting Started with Multimodal RAG
Traditional RAG can only handle text, but real-world data is far more than text. Multimodal RAG incorporates non-text data such as images, tables, and audio into the retrieval-augmented scope, enabling AI to understand richer information forms. This article takes you from scratch to understand the design philosophy and implementation path of multimodal RAG.
阅读教程 →Building an Enterprise-Grade AI Knowledge Base System from Scratch
Enterprise knowledge bases are the best entry point for AI implementation. This article comprehensively explains how to build an enterprise-level AI knowledge base system that supports multi-format documents, permission management, and continuous updates, from requirements analysis to system deployment.
阅读教程 →RAG from Beginner to Production: Complete Tech Stack
RAG (Retrieval-Augmented Generation) is the core paradigm for current AI application development. Starting from scratch, this article systematically explains the principles, architecture, and technology stack of RAG, taking you from conceptual understanding to building a usable RAG application.
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