SKILL

llm-app-patterns

用于构建 LLM 应用的生产级模式。涵盖 RAG 流水线、智能体架构、提示词 IDE 和 LLMOps 监控。适用于设计 AI 应用、实现 RAG、构建智能体或搭建 LLM 可观测性时。

译文已校对

查看英文原文

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

适用对象：学习与科研。自动收录 · 待核查。

原作者说明节选

从固定版本的 SKILL.md 提取，保留原文语言。以下内容属于作者说明，本站尚未验证安装、兼容或运行结果。

查看英文原文

原文涵盖的主题

🤖 LLM Application Patterns
When to Use This Skill
1. RAG Pipeline Architecture
Overview
1.1 Document Ingestion
1.2 Embedding & Storage
1.3 Retrieval Strategies
1.4 Generation with Context

Production-ready patterns for building LLM applications, inspired by Dify and industry best practices. Use this skill when: Designing LLM-powered applications Implementing RAG (Retrieval-Augmented Generation) Building AI agents with tools Setting up LLMOps monitoring Choosing between agent architectures -- RAG (Retrieval-Augmented Generation) grounds LLM responses in your data. -- -- -- -- -- | Pattern | Use When | Complexity | Cost | | :------------------- | :--------------- | :--------- | :-------- | | Simple RAG | FAQ, docs search | Low | Low | | Hybrid RAG | Mixed queries | Medium | Medium | | ReAct Agent | Multi-step tasks | Medium | Medium | | Function Calling | Structured tools | Low | Low | | Plan-Execute | Complex tasks | High | High | | Multi-Agent | Research tasks | Very High | Very High | -- Dify Platform LangChain Docs LlamaIndex Anthropic Cookbook

来源仓库: davila7/claude-code-templates
源文件: cli-tool/components/skills/ai-research/llm-app-patterns/SKILL.md
固定版本: 21be197f100a12b8d0dd9a211cc244c8179f84d3

阅读完整原作者说明 ↗