Practical Context Engineering for LLMs: Build Context-aware Agents, Memory systems and Real world Projects with Langchain, RAG, MCP and n8n – from scratch to mastery

Author(s): Theo Knox (Author)

• Publisher: Theo Knox
• Publication Date: August 6, 2025
• Language: English
• Print length: 361 pages
• ASIN: B0FLKHJDW8

Book Description

Why This Book, Why Now

The rise of large language models (LLMs) like GPT-4, Claude, Mistral, and
others has changed the way we build, interact with, and deploy software. But
behind the scenes of the most intelligent AI systems is something often
overlooked: context engineering — the art and science of controlling what
LLMs know, remember, and act upon at any given moment.
In this book, we go beyond the hype. You won’t just read about how LLMs
work — you’ll build real-world projects using the latest, hottest, and most
practical tools in the developer ecosystem, including:
● LangChain for chaining LLM operations into apps
● LlamaIndex for document ingestion and context retrieval
● RAG (Retrieval-Augmented Generation) for knowledge grounding
● MCP (Model Context Protocol) for agentic memory and autonomy
● n8n for no-code/low-code orchestration of AI workflows
Whether you’re a complete beginner or a technical builder looking to go
deeper, this book walks you from scratch to mastery — through a carefully
crafted project-based roadmap. Each chapter introduces you to powerful
techniques through hands-on use cases like intelligent agents, memory
systems, knowledge workers, and task automation.
What Makes This Book Different?
1. Strictly Project-Based
Every major technique is paired with a project. No fluff, no filler.
You’ll build systems as you learn.

2. Modern and Relevant
We use frameworks that are hot in today’s LLM developer stack
— the ones top devs on GitHub, Discord, and Hacker News are
exploring right now.

3. Beginner-Friendly, Pro-Ready
Concepts are introduced step-by-step. You don’t need prior
knowledge of LangChain or n8n. But by the end, you’ll be
shipping agentic systems confidently.

4. No Images. Pure Dev Logic.
All visualizations use flowcharts, tables, and diagrams — so
everything is copy-paste friendly and terminal-ready. This book
speaks code and clarity.

5. Real Autonomy, Real Context Mastery
We explore Model Context Protocols (MCP) to teach how to
think in memory loops, task states, and agentic context transitions.

By the time you finish this book, you won’t just understand context
engineering — you’ll have a working portfolio of LLM-driven systems that
prove it.
Let’s engineer smarter context, one project at a time.