LLM App 패턴
원문: llm-app-patterns
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.
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🤖 LLM Application Patterns Production ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices. When to Use This Skill 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 1. RAG Pipeline Architecture Overview RAG (Retrieval Augmented Generation) grounds LLM responses in your data. 1.1 Document Ingestion 1.2 Embedding & Storage 1.3 Retrieval Strategies 1.4 Generation with Context 2. Agent Architectures 2.1 ReAct Pattern (Reasoning + Acting) 2.2 Function Calling Pattern 2.3 …
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