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Outcome School · AI agents19 min read

by Amit Shekhar · 1 July 2026

How does LangChain work?

How LangChain works. We will also see why we need it, what chains, prompts, memory, and output parsers are, how retrieval and agents fit in, and how the full flow works together in the real world.

3,666 words#ai-agent#llm#ai#system-design4 recall cards

How does LangChain work?
Read on Outcome School ↗then come back to lock it in
Before you read, guess

What is the basic input-output process of LangChain?

Ten seconds, a guess, then read — a wrong guess still makes the answer stick.

What this article covers

  1. What is LangChain?
  2. Why do we need LangChain?
  3. The core idea behind LangChain
  4. LLM and Prompt Template
  5. What is a Chain?
  6. Output Parser
  7. Memory
  8. Retrieval and RAG
  9. Tools and Agents
  10. A complete flow of how LangChain works

The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.

Before you go

In one sentence, what was this chapter about?

From memory, without scrolling up. Writing it is what makes it yours; the grade is only to show you what you had.

How sure?