LangChain & LangGraph Concepts You Should Know

📰 Dev.to · Sospeter Mong'are

Learn key LangChain and LangGraph concepts to boost AI workflow efficiency, including chains, tools, and graphs, and apply them to real-world AI engineering tasks

beginner Published 10 Jul 2026

Action Steps

Define a chain of steps for an AI workflow using LangChain
Implement tools to give AI models superpowers and interact with the outside world
Create a graph to visualize and optimize AI workflows
Use Python to build and execute LangChain workflows
Test and refine AI workflows using LangGraph concepts

Who Needs to Know This

AI engineers and developers can benefit from understanding these concepts to improve their AI workflow and build more efficient AI systems

Key Insight

💡 Chains, tools, and graphs are fundamental concepts in LangChain and LangGraph that can help AI engineers build more efficient and effective AI systems

Key Takeaways

Learn key LangChain and LangGraph concepts to boost AI workflow efficiency, including chains, tools, and graphs, and apply them to real-world AI engineering tasks

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Title: LangChain & LangGraph Concepts You Should Know

URL Source: https://dev.to/msnmongare/langchain-langgraph-concepts-you-should-know-1la5

Published Time: 2026-07-10T05:58:30Z

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Posted on Jul 10

# LangChain & LangGraph Concepts You Should Know

[#ai](https://dev.to/t/ai)[#beginners](https://dev.to/t/beginners)[#langchain](https://dev.to/t/langchain)[#python](https://dev.to/t/python)

Here are five foundational **LangChain** and **LangGraph** concepts every AI engineer should understand.

### [](https://dev.to/msnmongare/langchain-langgraph-concepts-you-should-know-1la5#1-chains-the-ai-workflow) 1. Chains (The AI Workflow)

A **chain** is a sequence of steps where the output of one step becomes the input of the next.

**Example:**

```
User Question
↓
Retrieve Documents
↓
LLM Generates Answer
↓
Format Response
```

Think of it as a pipeline for AI tasks.

* * *

### [](https://dev.to/msnmongare/langchain-langgraph-concepts-you-should-know-1la5#2-tools-giving-ai-superpowers) 2. Tools (Giving AI Superpowers)

LLMs only know what was in their training data.

**Tools** let them interact with the outside world.

Examples include:

* Search

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LangChain & LangGraph Concepts You Should Know

Key Takeaways

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