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

by Alira Vexel
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Current price ₹1,735.00
Original price ₹1,880.00
Original price ₹1,880.00
Original price ₹1,880.00
(-8%)
₹1,735.00
Current price ₹1,735.00

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Book cover type: Paperback
  • ISBN13: 9798296064776
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 252
  • Original Price: GBP 14.86
  • Language: English
  • Edition: N/A
  • Item Weight: 590 grams
  • BISAC Subject(s): Artificial Intelligence / General

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.

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