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langchain - Build LLM applications using LangChain.

Build LLM applications using LCEL chains, RAG pipelines, and LangGraph agents.

Tags

Updated: 2026-09-20

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Build LCEL chains
  • Implement RAG pipelines
  • Create LangGraph agents
  • Configure LangSmith tracing
  • Deploy via LangServe

Inputs

  • Document data sources
  • Agent tool definitions
  • Model provider integration packages
  • LANGCHAIN_TRACING_V2 environment variable

Outputs

  • LCEL chain execution outputs
  • RAG pipeline responses
  • Agent execution states
  • LangSmith trace logs

Requirements

  • Python environment
  • LangChain v1.0 or higher
  • LangGraph runtime

Source

  • Spec: SKILL.md

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langchain
lcel
rag
agent
langgraph
llm
Build LCEL chains
Implement RAG pipelines
Create LangGraph agents
Configure LangSmith tracing
Document data sources
Agent tool definitions
Model provider integration packages
LCEL chain execution outputs
RAG pipeline responses
Agent execution states