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LangChain Learning Roadmap

Building LLM-powered applications — chains, agents, and retrieval-augmented generation.

Estimated time:1–2 months

1🌱

Phase 1 — Fundamentals

LLM & ChatModel wrappers

Prompt templates

Chains (sequential, LCEL)

Output parsers

2🔍

Document loaders & text splitters

Retrievers & similarity search

RAG chain design

3🤖

Tool calling / function calling

Agent executors & ReAct pattern

Memory (conversation, summary)

Multi-step agent orchestration

4🚀

important

LangSmith for tracing & evaluation

Prompt injection & guardrails

Cost/latency management (caching, streaming)

LangGraph for stateful multi-agent flows

Begin with interview questions to assess your current level.