Langchain Developer's Handbook: Learn to Build Real-World AI Apps with LLMs, Tools, Memory, and Retrieval Systems
The world is shifting toward intelligent applications-and LangChain is the framework powering the next generation of AI agents, chatbots, retrieval engines, and automated workflows. Whether you're a complete beginner or an experienced developer, this handbook gives you the clearest, most practical path to building real-world AI applications using LangChain and large language models.
No fluff. No confusion. Just step-by-step guidance, hands-on projects, and the essential skills you need to turn ideas into production-ready AI systems.
What You'll Learn✔ LangChain fundamentals explained simply and practically
✔ How to build full LLM applications using chains, tools, prompts, and agents
✔ Using memory to create conversational, context-aware AI systems
✔ How to integrate documents, databases, and APIs into your workflows
✔ Implementing Retrieval-Augmented Generation (RAG) with vector search
✔ Working with embeddings, chunking strategies, and indexes
✔ Building AI assistants with reasoning, tool use, and custom agents
✔ Integrations with OpenAI, Hugging Face, Anthropic, and local models
✔ How to deploy, optimize, and scale LangChain applications
✔ Real-world project examples you can adapt instantly
Software developers entering AI app development
Data scientists building intelligent systems
Engineers exploring LLM agents and automation
Students learning modern AI frameworks
Builders, creators, and founders launching AI-powered products
Anyone who wants to turn LLMs into useful, reliable, real-world tools
Why This Book Is DifferentLangChain can feel complex-until you learn it the right way. This handbook focuses on clarity, practicality, and real-world applications, giving you everything you need to master the framework quickly.
If you want to create AI tools, assistants, agents, and retrieval systems with confidence, the LangChain Developer's Handbook is your complete guide.
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