Agentic Track

Agentic Engineering

A structured knowledge base for LangChain, LangGraph, RAG, MCP, and production-grade LLM applications. Use it as both a learning path and an implementation reference.

Start Learning Jump to LangGraph

20

Structured Chapters

165

Focused Lessons

3

Core Tracks: Foundations, Agents, Production

What This Documentation Covers

• Foundations: prompts, chains, models, function calling, and core agent patterns.
• Build systems: RAG pipelines, LangGraph flows, reflection/reflexion loops, and MCP integrations.
• Production concerns: evaluation, debugging, tracing, security, and operational tradeoffs.

How To Use It

1. Open a chapter Overview first to understand scope and expected outcomes.
2. Expand Lessons in the sidebar and work through pages in order.
3. Capture your own notes, code snippets, and Mermaid diagrams directly on lesson pages.
4. Use the glossary and security chapters as reference while building real projects.

Course Sections

01. Introduction

4 lessons

02. The Essentials of LangChain - Hello World Chain

12 lessons

03. The Essentials of AI Agents

9 lessons

04. Agents Under the Hood

18 lessons

05. Function Calling

2 lessons

06. The Essentials of RAG - Embeddings, Vector Databases, Retrieval

10 lessons

07. Building a Documentation Assistant (RAG)

16 lessons

08. Prompt Engineering Theory

9 lessons

09. LLM Applications in Production

9 lessons

10. Introduction to LangGraph

13 lessons

11. Reflection Agent

5 lessons

12. Reflexion Agent

8 lessons

13. Agentic RAG

13 lessons

14. Model Context Protocol (MCP)

7 lessons

15. Using a Prebuilt MCP Server

4 lessons

16. Building MCP Servers and Clients

7 lessons

17. Useful Tools for LLM Applications

4 lessons

18. Deep Agents

6 lessons

19. LangChain Glossary

7 lessons

20. Agent Security

2 lessons