ai-agents-from-zero

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🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

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A Chinese-language, hands-on guide to building AI agent applications, covering LangChain, LangGraph, MCP, RAG, fine-tuning, deployment, and interview preparation. Includes tutorials and projects for multi-agent research and natural-language data querying.

Use Cases

Build multi-agent research systemsCreate natural-language-to-SQL applicationsDevelop enterprise knowledge-base assistantsBuild RAG pipelinesIntegrate tools through MCPDeploy and fine-tune LLM applications

Built With

Language: Python
Frameworks: LangChain · LangGraph · DeepAgents · Coze · Dify · RAGFlow · LlamaFactory · Ollama · vLLM

ai-agents-from-zero

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