Desarrollo

langchain

Helps build and compare LangChain-based LLM applications, including LCEL chains, RAG pipelines, tool-using agents, framework integrations, deployment, and observability.

★ 88 GitHub Stars
94 Puntuación de calidad
17 Archivos

Sobre esta Skill

Build LLM applications with LangChain. Use when working with LangChain or comparing LLM application frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.

Casos de uso

  • Build LCEL chains
  • Implement RAG pipelines
  • Create tool-using agents
  • Migrate from AgentExecutor to create_agent
  • Deploy and observe LLM applications

Funciones

  • LangChain v1 architecture guidance
  • LCEL, RAG, and agent pattern references
  • Python templates for chains, RAG, agents, and deployment
  • Integration and troubleshooting guidance
  • Setup verification script

Requisitos

  • Python
  • LangChain

Agents compatibles

No especificado

Archivos de Skill

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