{"product_id":"langchain-for-ai-applications-build-intelligent-agents-rag-pipelines-and-llm-powered-systems-9798276735757","title":"LangChain for AI Applications: Build Intelligent Agents, RAG Pipelines, and LLM-Powered Systems","description":"\u003cp\u003e • Author(s): Kenneth Charette\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Social Aspects - Human-Computer Interaction\u003c\/p\u003e\u003cp\u003eBuild production-ready AI systems with confidence. LangChain for AI Applications: Build Intelligent Agents, RAG Pipelines, and LLM-Powered Systems walks you from first principles to deployment, turning patterns into practical, testable code. You'll learn how to design grounded RAG, safe tool-calling agents, and fast, cost-aware services that your team can ship and maintain. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWritten in a practitioner's voice and packed with end-to-end examples, this book reflects current best practices: concise prompts, reranked retrieval, typed tools, and CI-backed evaluation (LangSmith). Every blueprint is battle-tested and accompanied by safeguards-token budgets, refusal policies, and draft-then-confirm side-effects-so you avoid common production pitfalls. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the Technology: \u003c\/b\u003e\u003cbr\u003eLarge Language Models excel when paired with the right orchestration layer. LangChain provides composable primitives (prompts, chains, tools, memory, retrievers) and a clean path to deployment (LangServe) and evaluation (LangSmith). Combined with vector search (FAISS\/Chroma) and modern APIs, you can deliver accurate, auditable, and scalable applications-from knowledge assistants to multimodal agents. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat's Inside: \u003c\/b\u003e\u003cbr\u003e- Foundations of LLMs, prompts, chains, tools, and memory\u003cbr\u003e- RAG pipelines that cite sources, control cost, and hit latency targets\u003cbr\u003e- Agent design with typed tools, function calling, and guardrails\u003cbr\u003e- Hybrid retrieval with reranking for higher answer quality\u003cbr\u003e- FastAPI\/LangServe deployment, Docker, and cloud CI\/CD templates\u003cbr\u003e- Monitoring, tracing, and experiment tracking with LangSmith\u003cbr\u003e- Testing strategies for chains and agents (unit, integration, and rubric-based evals)\u003cbr\u003e- Case studies: enterprise knowledge assistant, research summarizer with citations, and a text-plus-vision agent \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWho this book is for: \u003c\/b\u003e\u003cbr\u003eEngineers, data scientists, and technical product leaders who want reliable, maintainable AI features in real products-whether you're building internal tools, customer-facing assistants, or domain-specific copilots. A working knowledge of Python helps, but each pattern is explained end-to-end. \u003cp\u003e\u003c\/p\u003eModel APIs evolve quickly and so do costs, limits, and expectations. Teams that standardize on clear patterns-short reranked context, typed tools, measurable evals-ship faster and avoid expensive rewrites. This book gives you those patterns now. \u003cp\u003e\u003c\/p\u003eStructured in progressive steps, you'll get value in the first weekend (working RAG with citations), the first week (a multi-tool agent with tests), and over the long term (deployment blueprints, evaluation habits, and resiliency playbooks). \u003cp\u003e\u003c\/p\u003eInstead of scattered tutorials, you get a cohesive toolkit: copy-ready code, minimal but solid infrastructure templates, and checklists that reduce uncertainty in design reviews and post-incident analyses. The result is faster iteration, lower spend, and higher trust from stakeholders. \u003cp\u003e\u003c\/p\u003eIf you're ready to move from experiments to dependable AI products, \u003cb\u003ethis book is your operating manual\u003c\/b\u003e. Add it to your toolkit today and start shipping agents and RAG systems that are accurate, observable, and built to scale.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779070050455,"sku":"9798276735757","price":2612.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798276735757.webp?v=1778033176","url":"https:\/\/atlanticbooks.com\/products\/langchain-for-ai-applications-build-intelligent-agents-rag-pipelines-and-llm-powered-systems-9798276735757","provider":"Atlantic Books","version":"1.0","type":"link"}