Building AI Systems with Context Engineering

Building AI Systems with Context Engineering: Architecting Reliable LLM Systems with RAG, Memory Layers, and Prompt Protocols

Are your AI systems struggling with hallucinations, lost memory, or inconsistent tool use?

Discover the cutting-edge discipline of context engineering - the missing layer in today's LLM workflows - and learn how to build reliable, context-aware AI systems from the ground up using retrieval-augmented generation (RAG), dynamic memory, and structured prompt protocols.

This practical blueprint goes beyond theory to help developers, architects, and engineers design, build, and deploy production-grade LLM pipelines that retain memory, optimize context windows, and integrate tools dynamically.

What You'll Learn Inside:

Build modular context layers: prompt → memory → retrieval → tool injection
Implement RAG systems with ChromaDB, Weaviate, and LangChain
Engineer long- and short-term memory using vector stores and semantic summarization

• Create role-specific prompts, dynamic agent flows, and fallback routines
• Evaluate LLM pipelines using AutoEval, Promptfoo, and LangSmith
• Deploy CI/CD pipelines for versioned prompts and context-aware agents
• Troubleshoot prompt injection, token overflow, and irrelevant chunk retrieval
• Master LangGraph, CrewAI, and AutoGen for multi-agent orchestration

Includes:

• Fully worked code representations in Python
• Real-world tools: GPT-4o, Claude 3, Qwen, Mixtral, Zep, OpenRouter, PromptLayer
• Deployment-ready recipes, workflow templates, and memory architecture diagrams
• Appendices with reusable prompt templates, YAML context blocks, and vector store setups

Whether you're building an intelligent chatbot, a scalable RAG app, or a multi-agent pipeline, this book gives you everything you need to engineer context as a first-class citizen in modern AI systems.

Perfect for: LLM Developers, AI Engineers, Technical Architects, and Builders of Next-Gen AI

Start building smarter AI today.
Master context. Unlock reliability. Engineer intelligence.