LangChain

Framework for LLM applications, chains, and agent orchestration.

Maturity level: L2 — Can Build

Six perspectives on LangChain

Roadmap

Learn after RAG and LLM API fundamentals.

Architecture

Orchestration layer for agents, tools, and retrieval.

Company

Frequently listed in GenAI and agent engineering postings.

Projects

Build agent with tool use and human-in-the-loop.

Interview

Agent patterns, tool selection, and production concerns.

Career

Key skill for Agentic AI and LLMOps paths.

What & Why

What: Framework for building LLM-powered applications with chains, tools, and memory.

Why: Accelerates agent and RAG development with composable abstractions.

Build this

Multi-tool agent with observability and error handling.

Production reality

  • ! Abstraction leaks
  • ! Debugging complexity
  • ! Version churn
  • ! Latency from chain depth

Interview preparation

  • LangChain vs raw API approach
  • Agent design patterns
  • LangGraph for stateful flows

Connected skills

RAGMCPLLMs

Explore LangChain in the interactive universe or train with live cohorts.

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