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langchain-pro

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LangChain guidance — chains, agents, tools, RAG pipelines, LangGraph, evaluation, and production hardening.

skills/langchain-pro/SKILL.md

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## Overview

LangChain is the framework for LLM applications: chains (composable LLM calls), agents (LLMs using tools), RAG pipelines, and LangGraph (stateful, controllable agent workflows). The ecosystem moves fast — today's best practice is LangGraph for agents, LCEL (LangChain Expression Language) for chains, and skepticism toward anything magical.

This skill covers building LLM apps that work in production: prompt management, structured output, tool design, RAG done right, LangGraph agents, evaluation, and the hardening (cost, latency, reliability) that separates demos from products.

## When to use

- Building RAG applications.
- Creating agents with tools.
- Choosing between chains, agents, and LangGraph.
- Getting structured output from LLMs.
- Evaluating LLM application quality.
- Debugging LangChain/LangGraph apps (LangSmith).
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