{"product_id":"engineering-deep-agents-with-langchain-building-your-first-agentic-ai-systems-with-langchain-llms-and-vector-databases-9798262871438","title":"Engineering Deep Agents with LangChain: Building your first agentic AI systems with LangChain, LLMs, and vector databases","description":"\u003cp\u003e • Author(s): Hao Zhu\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003eEngineering Deep Agents with LangChain is a practical guide for developers, engineers, and AI practitioners who want to move beyond simple chatbots and start building structured, intelligent multi-agent AI systems. This book walks you through the essential concepts, tools, and workflows for designing agentic AI powered by LangChain, large and small language models, and vector databases.\u003cbr\u003eThe rapid progress of AI has shifted the focus from single LLM-driven assistants toward modular, multi-agent systems that can collaborate, specialize, and scale. LangChain has emerged as the leading framework for connecting models, memory, tools, and APIs into coherent AI workflows. This book provides the knowledge and hands-on strategies you need to engineer deep agents capable of reasoning, retrieving information, and interacting with real-world systems.\u003cbr\u003e\u003cb\u003e\u003cb\u003eInside, you'll learn how to: \u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eBuild your first LangChain pipelines and agents from scratch.\u003cbr\u003eIntegrate small language models (SLMs) and large language models (LLMs) for balanced performance, cost, and efficiency.\u003cbr\u003eDesign tools, memory components, and orchestration patterns for reliable AI workflows.\u003cbr\u003eImplement retrieval-augmented generation (RAG) using FAISS, Chroma, or Pinecone for grounded, knowledge-driven responses.\u003cbr\u003eApply design patterns such as coordinator-executor roles, parallel workflows, and error handling.\u003cbr\u003eDebug and evaluate your agentic systems with LangSmith for transparency and reliability.\u003cbr\u003eCombine theory with real-world examples through practical, annotated code walkthroughs.\u003cbr\u003eWritten in a clear and approachable style, this book doesn't stop at abstract concepts, it shows you how to actually implement agentic AI step by step. Whether you are experimenting with small prototypes or preparing to scale production systems, you will gain both the foundational understanding and the practical skills to succeed.\u003cbr\u003eIf you are a developer, AI engineer, researcher, or product builder looking to understand and apply the latest advances in agent-based AI, this book will give you a solid foundation to start building smarter, more reliable, and scalable multi-agent systems.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779201024151,"sku":"9798262871438","price":1698.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798262871438.webp?v=1778034265","url":"https:\/\/atlanticbooks.com\/products\/engineering-deep-agents-with-langchain-building-your-first-agentic-ai-systems-with-langchain-llms-and-vector-databases-9798262871438","provider":"Atlantic Books","version":"1.0","type":"link"}