AI Engineer
专注于 LLM 应用开发，涵盖 RAG 和 LangChain 架构。
Overall
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18%
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AI Engineer Skills
提供构建现代 AI 应用的核心能力。
包含的技能模块
1. RAG 实现 (RAG Implementation)
- 核心价值: 构建基于私有知识库的问答系统。
- 关键技术: 向量数据库, 文本分块, 检索增强生成.
- 使用场景: 智能客服、文档问答助手。
2. LangChain 架构 (LangChain Architecture)
- 核心价值: 掌握 LLM 应用开发的通用框架。
- 关键技术: Chains, Agents, Memory, Tools.
- 使用场景: 复杂 AI 工作流编排、Agent 开发。
如何使用
- RAG 开发: "请参考 RAG 实现，帮我设计一个文档问答系统的架构。"
- Agent 编排: "请使用 LangChain 架构，帮我写一个能搜索互联网的 Agent。"
- Last updated
- Created
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