I Turned LangChain JS Into a Simple Learning Path — Free & Open Source

🚀 Learn LangChain JS (with LangGraph) — My Open-Source Repo

Over the last few weeks, I’ve been learning how real AI backends are built — not just “call an LLM” but actual systems that use tools, memory, RAG, scraping, agents, and workflow logic.

While learning, I noticed something:

There isn’t a simple, practical, beginner-friendly way to learn LangChain JS + LangGraph with real examples.

So I decided to build one myself.

👉 Learn-LangChain (JS)
A clean, example-first repository that teaches LangChain JS from zero to advanced, using short, focused lessons you can run instantly.

🔗 Repo: https://github.com/iparesh18/Learn-LangChain

⭐ What’s Inside

Prompt chains

Output parsing

Embeddings + vector search

Basic RAG

Tools (RunnableLambda + validation)

Puppeteer scraping

LLM-as-a-tool

Agent execution

LangGraph (nodes, edges, routing)

Multi-agent flows (planner → scrape/search → final answer)

Every file is a standalone lesson.
No theory overload — just code you can run and understand.

🌱 Why I Built This

I wanted something simple, practical, and structured — the kind of resource I wish existed when I started.

And I’ll keep updating it with more chapters as I learn.

📌 Repo Link

If you're exploring LangChain, LangGraph, or agentic AI in general — this might save you a lot of time.

👉 https://github.com/iparesh18/Learn-LangChain