Overview

Unlock the full power of Large Language Models by mastering the one skill most developers overlook: context engineering. Build smarter, faster, and more reliable AI systems with techniques that go far beyond prompts. Context Engineering with LangChain is a practical, developer-focused guide to building memory-aware LLM applications that behave intelligently in real-world environments. From the fundamentals of context windows and retrieval strategies to advanced memory architectures, you'll learn how to design AI systems that reason accurately, adapt dynamically, and scale confidently. Through hands-on projects, modern design patterns, and detailed walkthroughs, this book teaches you how to combine LangChain, vector databases, embeddings, RAG pipelines, agents, and persistent memory stores into production-ready applications. You'll explore optimization techniques, debugging workflows, context compression, hybrid memory models, and multi-agent interactions all explained with clarity, precision, and real-world use cases. Whether you're a beginner stepping into LLM development or an experienced engineer looking to sharpen your architecture skills, this book gives you the tools to build high-performance, context-rich AI systems that deliver consistent, predictable results. Benefits: Master LangChain's core components LLMs, memory, retrievers, agents, and toolchains. Implement modern RAG and memory systems using vector stores, embeddings, and hybrid context pipelines. Learn hands-on with real projects including chatbots, assistants, and multi-step agents. Optimize context usage with compression techniques, summarization, chunking, and dynamic memory selection. Deploy production-ready systems with performance tuning, observability, and scalability best practices. Ready to build smarter, context-aware AI? Get your copy of Context Engineering with LangChain today and start creating LLM applications that truly understand, remember, and respond with intelligence.

Full Product Details

9798274873062

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available